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Nasser M. Nasrabadi
Director of Deep Learning Laboratory
College of Engineering and Mineral Resources
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Conference Publications

  1. Mohammad saeed Ebrahimi saadabadi, Ali Dabouei, Sahar Rahimi Malakshan, Nasser Nasrabadi, “Hyperspherical Classification with Dynamic Label-to-Prototype Assignment,” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 17-21, 2024, Seattle, WA. (25.8% acceptance rate).

  2. Atefe Khoshkhahtinat, Ali Zafari, Piyush M. Mehta, Nasser M. Nasrabadi, “Laplacian guided Entropy Model in Neural Codec with Blur-dissipated Synthesis,” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 17-21, 2024, Seattle, WA. (25.8% acceptance rate)

  3. Md Mahedi Hasan, Shoaib Meraj Sami, Nasser M. Nasrabadi, “Text-Guided Face Recognition using Multi-Granularity Cross-Modal Contrastive Learning,” IEEE Winter Conference on Applications of Computer Vision ((WACV’24), Jan. 4-8, 2024, Waikoloa, Hawaii.

  4. Atefeh Khoshkhahtinat, Ali Zafari, Piyush M. Mehta, Nasser M. Nasrabadi, Barbara Thompson, B. J., Da Silva, D., & Kirk, M. S. (2024, January). Transformer-based Neural Video Compression on Solar Dynamics Observatory. In the 104th American meteorological society (AMS'24) Annual Meeting, Jan. 28th – Feb. 1, 2024, Baltimore, Maryland.

  5. Atefeh Khoshkhahtinat, Ali Zafari, Piyush M Mehta, Nasser M Nasrabadi, Barbara J Thompson, Michael SF Kirk, Daniel da Silva, “Context-Aware Neural Video Compression on Solar Dynamics Observatory,”  IEEE International Conference on Machine Learning and Applications (IEEE ICMLA'23), Dec 15-17, Florida, 2023.

  6. Mohammad Akyash, Ali Zafari, and Nasser M. Nasrabadi, “Trading-off Mutual Information on Feature Aggregation for Face Recognition,” IEEE International Conference on Machine Learning and Applications (IEEE ICMLA'23), Dec 15-17, Florida, 20235.

  7. Ali Zafari, Atefeh Khoshkhahtinat, Piyush M Mehta, Nasser M Nasrabadi, Barbara J Thompson, Michael SF Kirk, Daniel da Silva, “Multi-spectral Entropy Constrained Neural Compression of Solar Imagery,”  IEEE International Conference on Machine Learning and Applications (IEEE ICMLA'23), Dec 15-17, Florida, 2023.6. Atefeh Khoshkhahtinat, 

  8. Ali Zafari, Piyush M Mehta, Nasser M Nasrabadi, Barbara J Thompson, Michael SF Kirk, Daniel da Silva, “Context-Aware Neural Video Compression on Solar Dynamics Observatory,”  IEEE International Conference on Machine Learning and Applications (IEEE ICMLA'23), Dec 15-17, Florida, 2023.

  9. Niloufar Alipour Talemi, Hossein Kashiani, Sahar Rahimi Malakshan, Mohammad Saeed Ebrahimi Saadabadi, Nima Najafzadeh, Mohammad Akyash, Nasser M. Nasrabadi, “AAFACE: Attribute-Aware Attentional Network for Face Recognition,” in IEEE Int. Conf. on Image Processing (ICIP’23), Oct. 8-11, 2023, Kuala Lumpur, Malaysia.

  10. Ali Zafari, Atefeh Khoshkhahtinat, Piyush Mehta, Mohammad Saeed Ebrahimi Saadabadi, Mohammad Akyash, Nasser M. Nasrabadi,” Frequency Disentangled Features in Neural Image Compression,” in IEEE Int. Conf. on Image Processing (ICIP’23), Oct. 8-11, 2023, Kuala Lumpur, Malaysia.

  11.  Hossein Kashiani, Niloufar Alipour Talemi, Mohammad Saeed Ebrahimi Saadabadi, Nasser Nasrabadi, “Towards Generalizable Morph Attack Detection with Consistency Regularization,” IEEE Int. Joint Conference on Biometrics (IJCB'23), Sept. 25-28, 2023, Ljubljana, Slovenia. (Acceptance rate 36.7%)

  12. Md Mahedi Hasan and Nasser Nasrabadi, “Improving Face Recognition from Caption Supervision with Multi-Granular Contextual Feature Aggregation,” IEEE Int. Joint Conference on Biometrics (IJCB'23), Sept. 25-28, 2023, Ljubljana, Slovenia. (Acceptance rate 36.7%)

  13. Sahar Rahimi Malakshan, Mohammad Saeed Ebrahimi Saadabadi, Nima Najafzadeh, Nasser Nasrabadi, “Deep Boosting Multi-Modal Ensemble Face Recognition with Sample-Level Weighting,” IEEE Int. Joint Conference on Biometrics (IJCB'23), Sept. 25-28, 2023, Ljubljana, Slovenia. (Acceptance rate 36.7%)

  14. Mohammad Saeed Ebrahimi Saadabadi, Sahar Rahimi Malakshan, Hossein Kashiani, Nasser Nasrabadi, “CCFace: Classification Consistency for Low-Resolution Face recognition,” IEEE Int. Joint Conference on Biometrics (IJCB'23), Sept. 25-28, 2023, Ljubljana, Slovenia. (Acceptance rate 36.7%)

  15. Banafsheh Adami, Sara Tehranipoor, Nasser M. Nasrabadi, Nima Karimian, “A Universal Anti-Spoofing Approach for Contactless Fingerprint Biometric Systems,” IEEE Int. Joint Conference on Biometrics (IJCB'23), Sept. 25-28, 2023, Ljubljana, Slovenia. (Acceptance rate 36.7%)

  16. Amol S Joshi, Ali Dabouei, Nasser Nasrabadi, Jeremy Dawson, “Synthetic Latent Fingerprint Generation Using Style Transfer,” 22nd International Conference of the Biometrics Special Interest Group (BIOSIG 2023), Sept. 20-22, 2023, Darmstadt, Germany.

  17. Carson King, Evan Garrett, Aeddon Berti, Jermey Dawson Nasser M. Nasrabadi, “Contactless Fingerprints: Differential Performance for Fingers of Varying Size and Ridge Density,” 22nd International Conference of the Biometrics Special Interest Group (BIOSIG 2023), Sept. 20-22, 2023, Darmstadt, Germany.

  18. Shoaib Meraj Sami, Nasser M. Nasrabadi, and Raghuveer Rao, “Deep Transductive Transfer Learning for Automatic Target recognition,” in SPIE Defense & Commercial Sensing, Conference 12521, Automatic target recognition XXXIII, May 1-4, 2023, Orlando, Florida. (Best paper Award)

  19. Zafari, A., Khoshkhahtinat, A., Mehta, P. M., Nasrabadi, N., Thompson, B. J., da Silva, D., & Kirk, M. (2023, January). Attention-Based Generative Neural Image Compression on Solar Dynamics Observatory. In the 103rd American meteorological society (AMS'23) Annual Meeting. Jan. 8-12, 2023, Denver, Colorado. 

  20. Ali Zafari, Atefeh Khoshkhahtinat, Piyush M Mehta, Nasser M Nasrabadi, Barbara J Thompson, Michael SF Kirk, Daniel da Silva, “Multi-spectral Entropy Constrained Neural Compression of Solar Imagery,”  IEEE International Conference on Machine Learning and Applications (IEEE ICMLA'23), Dec 15-17, Florida, 2023.
  21.  Mohammad Akyash, Ali Zafari, and Nasser M. Nasrabadi, “Trading-off Mutual Information on Feature Aggregation for Face Recognition,” IEEE International Conference on Machine Learning and Applications (IEEE ICMLA'23), Dec 15-17, Florida, 2023
  22.  Atefeh Khoshkhahtinat, Ali Zafari, Piyush M Mehta, Mohammad Akyash, Hossein Kashiani, Nasser M Nasrabadi, “Multi-Context Dual Hyper-Prior Neural Image Compression,” IEEE International Conference on Machine Learning and Applications (IEEE ICMLA'23), Dec 15-17, Florida, 2023.
  23. Mohammad Saeed Ebrahimi Saadabadi, Sahar Rahimi Malakshan, Ali Zafari, Moktari Mostofa, Nasser M. Nasrabadi, “A Quality Aware Sample-to-Sample Comparison for Face Recognition,” in Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV’23), 2023.
  24. Nima Najafzadeh, Hossein Kashiani, Mohammad Saeed Ebrahimi Saadabadi, Niloufar Alipour Talemi, Sahar Rahimi Malakshan, Nasser M. Nasrabadi, “Face Image Quality Vector Assessment for Biometrics Applications,” in Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV’23), 2023. 
  25. Ali Zafari, Atefeh Khoshkhahtinat, Piyush Mehta, Nasser Nasrabadi, Barbara Thompson, Daniel da Silva, Michael Kirk, “Attention-Based Generative Neural Image Compression on Solar Dynamics Observatory,” IEEE 21st IEEE Int. Conf. on Machine Learning and Applications (ICMLA), Dec. 12-14, 2022, Bahamas.
  26. Kelsey O'Haire, Sobhan Soleymani, Samuel Price, Nasser M Nasrabadi, “Juvenile Morph Dataset: A Study of Attack Detectability and Recognition Vulnerability,” 21st Annual IEEE International Symposium on Technologies for Homeland Security (HST22), Nov. 14-15, 2022. (Virtual)
  27. Ali Dabouei, Fariborz Taherkhani, Sobhan Soleymani, Nasser M. Nasrabadi, “Revisiting Outer Optimization in Adversarial Training,” 16th European Conference on Computer Vision (ECCV 2022) 23-27 Oct. 2022. Tel Aviv, Israel. (Acceptance rate 28%)    
  28. Aeddon Berti, Nasser M. Nasrabadi, and Jeremy Dawson, ”Investigating the impact of demographic factors on contactless fingerprint interoperability,” IEEE 21th International Conference of the Biometrics Special Interest Group (BIOSIG'22), October 13th-16th, 2022, Darmstadt, Germany.
  29. Mohammad Saeed Ebrahimi Saadabadi, Sahar Rahimi Malakshan, Moktari Mostofa, Sobhan Soleymani, Nasser M. Nasrabadi, "Information Maximization for Extreme Pose Face Recognition," IEEE Int. Joint Conference on Biometrics (IJCB'22), Oct. 10-13, 2022, Abu Dhabi, United Arab Emirates. (Acceptance rate 36.5%)
  30. Paria Jeihouni, Omid Dehzangi, Annahita Amireskandari, Ali Dabouei, Ali Rezai, Nasser M. Nasrabadi, “Super-resolution and Segmentation of OCT Scans Using Multi-Stage Adversarial Attention Training,” IEEE Int. Conference on Acoustic, Speech, Signal processing (ICASSP’22), pp. 1106-1110, May 22-27, 2022.  doi: 10.1109/ICASSP43922.2022.9747498 (Acceptance rate 45%) 
  31. Omid Dehzangi, Paria Jeihouni, Jade Ramadan, Victor Finomore, Nasser M. Nasrabadi, Ali Rezai, “Ubiquitous Physiological Prediction of SUD Patients’ Wellness State Using Memory-Based Convolutional Models,” IEEE Int. Conference on Acoustic, Speech, Signal processing (ICASSP’22), May 22-27, 2022, Singapore. (Acceptance rate 45%)
  32. Md Mahedi Hasan, Nasser M. Nasrabadi, Jeremy Dawson, ”Deep Coupled GAN-Based Score-Level Fusion for Multi-Finger Contact to Contactless Fingerprint Matching,” IEEE 21th International Conference of the Biometrics Special Interest Group (BIOSIG'22), October 13th-16th, 2022, Darmstadt, Germany.
  33. Hossein Kashiani, Shoaib Meraj Sami, Sobhan Soleymani, Nasser M. Nasrabadi, "Robust Ensemble Morph Detection with Domain Generalization," IEEE Int. Joint Conference on Biometrics (IJCB'22), Oct. 10-13, 2022, Abu Dhabi, United Arab Emirates. (Acceptance rate 36.5%)
  34. Moktari Mostofa, Mohammad Saeed Ebrahimi Saadabadi, Sahar Rahimi Malakshan, Nasser M. Nasrabadi, " Pose Attention-Guided Profile-to-Frontal Face Recognition," IEEE Int. Joint Conference on Biometrics (IJCB'22), Oct. 10-13, 2022, Abu Dhabi, United Arab Emirates. (Acceptance rate 36.5%)
  35. Samuel Price, Sobhan Soleymani, Nasser M. Nasrabadi, " Landmark Enforcement and Style Manipulation for Generative Morphing," IEEE Int. Joint Conference on Biometrics (IJCB'22), Oct. 10-13, 2022, Abu Dhabi, United Arab Emirates. (Acceptance rate 36.5%)
  36. Uche Osahor, Nasser M. Nasrabadi, “Ortho-Shot:Low Displacement Rank Regularization with Data Augmentation for Few-Shot Learning,” IEEE Winter Conference on Applications of Computer Vision (WACV 2022), Jan. 4-8, 2022, Waikoloa, Hawaii.
  37. Veeru Tareja, Nasser M. Nasrabadi, MAtthew Valenti, “Attribute-Based Deep Periocular Recognition: Leveraging Soft Biometrics to Improve Periocular Recognition,” IEEE Winter Conference on Applications of Computer Vision (WACV 2022), Jan. 4-8, 2022, Waikoloa, Hawaii.
  38. Poorya Aghdaie, Sobhan Soleymani, Baaria Chaudhary, Jeremy Dawson, Nasser M. Nasrabadi, “Morph Detection Enhanced by Structured Group Sparsity,” IEEE Winter Conference on Applications of Computer Vision (WACV 2022), workshop WACVMAPA2022, Jan. 4-8, 2022, Waikoloa, Hawaii.
  39. Kelsey O'Haire, Sobhan Soleymani, Baaria Chaudhary, Poorya Aghdaie, Jeremy Dawson, Nasser M Nasrabadi, “Adversarially Perturbed Wavelet-based Morphed Face Generation,” IEEE International Conference on Automatic Face and Gesture Recognition (FG’2021), Dec. 15-18, 2021, Jodhpur, India (Virtual Event).
  40. Domenick Poster, Nasser M Nasrabadi, “Ortho-Shot: Low Displacement Rank Regularization with Data Augmentation for Few-Shot Learning,” IEEE International Conference on Automatic Face and Gesture Recognition (FG’2021), Dec. 15-18, 2021, Jodhpur, India (Virtual Event).
  41. Salman Mohamadi, Gianfranco Doretto, Nasser M. Nasrabadi, and Donald Adjeroh, “Human Age Estimation from Gene Expression Data using Artificial Neural Networks,” IEEE International Conference on Bioinformatics and Biomedicine (BIBM’2 - DLB2H’21), Dec. 9-12, Virtual Conference.
  42. Uche Osahor, Nasser M. Nasrabadi, “Quality Map Fusion for Adversarial Learning,”  32nd British Machine Vision Conference (BMVC’21), Virtual Conference, 22-25th Nov. 2021. 
  43. John McCauley, Sobhan Soleymani, Brady Williams, Jeremy Dawson, Nasser M. Nasrabadi, "Identical Twins as a Facial Similarity Benchmark for Human Facial Recognition,"  IEEE 20th International Conference of the Biometrics Special Interest Group (BIOSIG'21), Sept. 15th-17th, 2021, Darmstadt, Germany.
  44. Brady Williams, John McCauley, John Dando, Jeremy Dawson, Nasser M. Nasrabadi, "Interoperability of Contact and Contactless Fingerprints Across Multitiple Fingerprint Sensors,"  IEEE 20th International Conference of the Biometrics Special Interest Group (BIOSIG'21) September 15th-17th, 2021,  Darmstadt, Germany.
  45. Paria Jeihouni, Omid Dehzangi, Annahita Amireskandari, Ali Rezai, Nasser M. Nasrabadi, “GAN-based Super-Resolution and Segmentation of Retinal Layers in Optical Coherence Tomography Scans,” IEEE Int. Conference on Image Processing (ICIP21), Anchorage, Alaska, 19-22 Sept. 2021.
  46. Amol S. Joshi, Ali Dabouei, Jeremy Dawson, Nasser M. Nasrabadi, "FDeblur-GAN Fingerprint Deblurring Using Generative Adversarial Network," IEEE Int. Joint Conference on Biometrics (IJCB'21), Virtual, Aug. 4-7, 2021.(Acceptance rate 40.2%)
  47. Poorya Aghdaie, Baaria Chaudhary, Sobhan Soleymani, Jeremy Dawson, Nasser M. Nasrabadi, "Attention Aware Wavelet-based Detection of Morphed Face Images," IEEE Int. Joint Conference on Biometrics (IJCB'21), Virtual, Aug. 4-7, 2021.(Acceptance rate 40.2%)
  48. Baaria Chaudhary, Poorya Aghdaie, Sobhan Soleymani, Jeremy Dawson, Nasser M. Nasrabadi, “Differential Morph Face Detection using Discriminative Wavelet Sub-bands,” IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshop on Biometrics (CVPRW),” Virtual, June 19-25, 2021.
  49. Fariborz Taherkhani, Ali Dabouei, Sobhan Soleymani, J. Dawson, N. M. Nasrabadi, “Self-Supervised Wasserstein Pseudo-Labeling for Semi-Supervised Image Classification,” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),” Virtual, June 19-25, 2021. (Acceptance rate 27%)
  50. Ali Dabouei, Sobhan Soleymani, Fariborz Taherkhani, Nasser M. Nasrabadi, “SuperMix: Supervising the Mixing Data Augmentation,” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),” Virtual, June 19-25, 2021. (Acceptance rate 27%)
  51. Poorya Aghdaie, Baaria Chaudhary, Sobhan Soleymani, Jeremy Dawson, Nasser M. Nasrabadi, “Detection of Morphed Face Images Using Discriminative Wavelet Sub-bands,” the 9th IEEE International Workshop on Biometrics and Forensics (IWBF21), May 6-7, 2021, Rome, Italy.
  52. Sobhan Soleymani, Baaria Chaudhary, Ali Dabouei, Jeremy Dawson, Nasser M. Nasrabadi, “Differential Morphed Face Detection Using Deep Siamese Networks,” ICPR Workshop, MultiMedia FORensics in the WILD (MMForWILD’2020), Jan. 10-15, 2021, Milan, Italy.
  53. Sobhan Soleymani, Ali Dabouei, Fariborz Taherkhani, Jeremy Dawson and Nasser M. Nasrabadi, “Mutual Information Maximization on Disentangled Representations for Differential Morph Detection,” IEEE Winter Conference on Applications of Computer Vision (WACV 2021), March 5-9, 2021, Waikoloa, Hawaii.
  54. Domenick Poster, Matthew Thielke, Robert Nguyen, Srinivasan Rajaraman, Xing Di, Cedric Nimpa Fondje, Vishal Patel, Nathan J. Short, Benjamin S. Riggan, Nasser M. Nasrabadi, Shuowen Hu “A Large-Scale, Time-Sychronized Visible and Thermal Face Dataset,” IEEE Winter Conference on Applications of Computer Vision (WACV 2021), March 5-9, 2021, Waikoloa, Hawaii.
  55. 4.     Omid Dehzangi, Saba Heidari Gheshlaghi, Annahita Amireskandari, Nasser M. Nasrabadi, Ali Rezai, “OCT Image Segmentation Using Neural Architecture Search and SRGAN,” 25th Int. Conf. on Pattern Recognition (ICPR’21), Jan. 10-15, 2021, Milan, Italy.
  56. Omid Dehzangi, Arash Shokouhmand, Paria Jeihouni, Jad Ramadan, Victor Finomore, Nasser M. Nasrabadi, and Ali Rezai “XGBoost to Interpret the Opioid Patients’ State Based on Cognitive and Physiological Measures,” 25th Int. Conf. on Pattern Recognition (ICPR’21), Jan. 10-15, 2021, Milan, Italy.
  57. Syeda Nyma Ferdous, Ali Dabouei, Jeremy Dawson and Nasser M. Nasrabadi, “Super-resolution Guided Pore Detection for Fingerprint Recognition,” 25th Int. Conf. on Pattern Recognition (ICPR’21), Jan. 10-15, 2021, Milan, Italy.
  58. Sertac Arisoy, Nasser M. Nasrabadi, Koray Kayabol, “GAN-based Hyperspectral Anomaly Detection,”28th European Signal Processing Conference (EUSIPCO2020), January 18-22, 2021 Amsterdam, Netherland.
  59. Seyed Mehdi Iranmanesh, Ali Dabouei, Nasser M. Nasrabadi “Attribute Adaptive Margin Softmax Loss Using Privileged Information,” 31st British Machine Vision Conference, 7-11 Sept. 2020.  (Acceptance rate 29.1%)
  60.  Fariborz Taherkhani, Ali Dabouei, Sobhan Soleymani, Jeremy Dawson, Nasser M. Nasrabadi, “Transporting Labels via Hierarchical Optimal Transport for Semi-Supervised Learning,” 16th European Conference on Computer Vision (ECCV 2020) 23-28 Aug. 2020. (Spotlight paper - Acceptance rate 27%)
  61. Omid Dehzangi, Saba Heidari Gheshlaghi, Ali Dabouei, Nasser Nasrabadi, “OCT Image Segmentation Using an Efficient Neural Architecture Search,” in IEEE Int. Conf. Image Processing (ICIP), October 25-28, 2020, United Arab Emirates. (Acceptance rate 42%)
  62. Moktari Mostofa, F. Taherkhani, J. Dawson and N. M. Nasrabadi, “Cross-Spectral Iris Matching Using Coupled cGAN,” IEEE International Joint Conference on Biometrics (IJCB’20), Sept. 28-Oct. 1, 2020, Houston, Taxes. (Acceptance rate 39%)
  63. F. Taherkhani, V. Talreja, J. Dawson, M. Valenti, N. M. Nasrabadi, “PF-CpGAN: profile to frontal coupled GAN for face recognition in the wild,” IEEE International Joint Conference on Biometrics (IJCB’20), Sept. 28- 1 Oct., 2020, Houston, Taxes. (Acceptance rate 39%) (the best student paper award)
  64. Osahor, U.M., Kazemi, H., Dabouei, A., Nasrabadi, N.M., “Quality Guided Sketch-to-Photo Image Synthesis,” in IEEE Computer Vision and Pattern Recognition Workshop on Biometrics (CVPRW), 16 June, 2020.
  65. Ali Dabouei, Sobhan Soleymani, Fariborz Taherkhani, Jeremy Dawson, Nasser M. Nasrabadi, “Exploiting Joint Robustness to Adversarial Perturbations,” Computer Vision and Pattern Recognition (CVPR 2020), June 14-19, 2020, Seattle, Washington. (Acceptance rate 22%)
  66. Moktari Mostofa, Syeda Nyma Ferdous, Nasser M. Nasrabadi, “A joint cross-modal super-resolution approach for vehicle detection in aerial imagery,”  SPIE Symposium on Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications II, Proceedings Volume 11413, Anaheim CA, 27 April - 1 May 2020
  67. Syeda Nyma Ferdous, Moktari Mostofa, Uche Osahor, Nasser M. Nasrabadi “Target classification in infrared imagery by cross-spectral synthesis using GAN,” SPIE Symposium, Automatic Target Recognition XXX, Proc. SPIE. 11394, Anaheim CA, 27 April - 1 May 2020. (the best paper award)
  68. H. Kazemi, F. Taherkhani, N. M. Nasrabadi, “Preference-Based Image Generation,” IEEE Winter Conference on Applications of Computer Vision (WACV 2020), March 2-5, 2020, Aspen, Colorado.
  69. A. Dabouei, S. Soleymani, F. Taherkhani, J. Dawson, N. M. Nasrabadi, “SmoothFool: An Efficient Framework for Computing Smooth Adversarial Perturbations,” IEEE Winter Conference on Applications of Computer Vision (WACV 2020), March 2-5, 2020, Aspen, Colorado.
  70. A. Dabouei, S. Soleymani, F. Taherkhani, J. Dawson, N. M. Nasrabadi, “Boosting Deep Face Recognition via Disentangling Appearance and Geometry,” IEEE Winter Conference on Applications of Computer Vision (WACV 2020), March 2-5, 2020, Aspen, Colorado.
  71. S. M. Iranmanesh, A. Dabouei, S. Soleymani, H. Kazemi, N. M. Nasrabadi, “Robust Facial Landmark Detection via Aggregation on Geometrically Manipulated Faces,” IEEE Winter Conference on Applications of Computer Vision (WACV 2020), March 2-5, 2020, Aspen, Colorado. 
  72. Omid Dehzangi, Saba Heidari, Annahita Amireskandari, Nasser M. Nasrabadi, Ali Rezai, “OCT Image Segmentation Using Neural Architecture Search and SRGAN,” 25th Int. Conf. on Pattern Recognition (ICPR’21), Jan. 10-15, 2021, Milan, Italy.
  73. Domenick Poster, Matthew Thielke, Robert Nguyen, Srinivasan Rajaraman, Xing Di, Cedric Nimpa Fondje, Vishal Patel, Nathan J. Short, Benjamin S. Riggan, Nasser M. Nasrabadi, Shuowen Hu “A Large-Scale, Time-Sychronized Visible and Thermal Face Dataset,” IEEE Winter Conference on Applications of Computer Vision (WACV 2021), March 5-9, 2021, Waikoloa, Hawaii.
  74. F. Taherkhani, H. Kazemi, A. Dabouei, J. Dawson, N. M. Nasrabadi, "A Weakly Supervised Fine Label Classifier Enhanced by Coarse Supervision, IEEE Int. Conf. on Computer Vision (ICCV'19), Sept. 27-Nov. 2, 2019, Soul, South Korea.
  75. S. Soleymani, A. Dabouei, J. Dawson, N. M. Nasrabadi, “Defending Against Adversarial Iris Examples Using Wavelet Decomposition,” The Tenth IEEE International Conference on Biometrics: Theory, Applications, and Systems (BTAS 2019), Sept. 23, 2019.
  76. V. Talreja, M. Valenti, N. M. Nasrabadi, Zero-Shot Deep Hashing and Neural Network Based Error Correction for Face Template Protection,” The Tenth IEEE International Conference on Biometrics: Theory, Applications, and Systems (BTAS 2019), Sept. 23, 2019.
  77. V. Talreja, F. Taherkhani, N. M. Nasrabadi, M Valenti, “Attribute-Guided Coupled GAN for Cross-Resolution Face Recognition,” The Tenth IEEE International Conference on Biometrics: Theory, Applications, and Systems (BTAS 2019), Sept. 23, 2019.
  78. H. Kazemi, F. Taherkhani, N. M. Nasrabadi, “Identity-Aware Deep Face Hallucination via Adversarial Face Verification,” The Tenth IEEE International Conference on Biometrics: Theory, Applications, and Systems (BTAS 2019), Sept. 23, 2019.
  79. D. Poster, B. S. Riggan, S. Hu, N. M. Nasrabadi, “An Examination of Deep-Learning Based Landmark Detection Methods on Thermal Face Imagery,” CVPRW’19, 15th IEEE Workshop on Perception Beyond the Visible Spectrum (PBVS’19), 2019.
  80. F. Taherkhani, J. Dawson, N. M. Nasrabadi, “Hyperspectral Band Selection for Face Recognition Based on a Structurally Sparsified Deep Convolutional Neural Networks,” in the 12th IAPR International Conference On Biometrics (ICB’19), 4-7 June 2019, Crete, Greece.
  81. S. Soleymani, A. Dabouei, J. Dawson, N. M. Nasrabadi, “Adversarial Examples to Fool Iris Recognition Systems” in the 12th IAPR International Conference On Biometrics (ICB’19), 4-7 June 2019, Crete, Greece.
  82.  A. Dabouei, S. Soleymani, J. Dawson, N. M. Nasrabadi, “Deep Contactless Fingerprint Unwarping,” in the 12th IAPR International Conference On Biometrics (ICB’19), 4-7 June 2019, Crete, Greece.
  83. S. M. Iranmanesh, N. M. Nasrabadi, “Attribute-Guided Deep Polarimetric Thermal-to-visible Face Recognition,” in the 12th IAPR International Conference On Biometrics (ICB’19), 4-7 June 2019, Crete, Greece.
  84. V. Talreja, M. Valenti, N. M. Nasrabadi, “Learning to Authenticate with Deep Multibiometric Hashing and Neural Network Decoding," IEEE International Conference on Communications (ICC’19), 20-24 May 2019, Shanghai, China.
  85. F. Taherkhani, H. Kazemi, N. M. Nasrabadi  “Matrix Completion for Graph-Based Deep Semi-Supervised Learning”, 33rd AAAI Conference on Artificial Intelligence (AAAI), Jan. 27-Feb. 1, 2019, Honolulu, Hawaii.
  86. A. Dabouei, S, Soleymani, J. Dawson, N. M.  Nasrabadi, “Fast Geometrically-Perturbed Adversarial Faces,” 2019 IEEE Winter Conference on Applications of Computer Vision ( WACV’19), Waikoloa, Hawaii,  January 8-10, 2019.
  87. H. Kazemi, S. M. Iranmanesh, N. M. Nasrabadi, “Style and Content Disentanglement in Generative Adversarial Networks,” 2019 IEEE Winter Conference on Applications of Computer Vision ( WACV’19), Waikoloa, Hawaii,  January 8-10, 2019.
  88. V. Talreja, F. Taherkhani, N. M. Nasrabadi, M. Valenti “Using Deep Cross Modal Hashing and Error Correcting Codes for Improving the Efficiency of Attribute Guided Facial Image Retrieval,” in IEEE GlobalSIP, Nov. 26-29, 2018, Anaheim, CA. 
  89. H. Kazemi, M. Iranmanesh, F. Taherkhani, S. Soleymani, N. M. Nasrabadi,  “Unsupervised Image-to-Image Translation Using Domain-Specific Variational Information Bound,” Thirty-second Conference on Neural Information Processing Systems (NIPS’18), 4-6 Dec., 2018, Montreal, Canada.
  90. F. Taherkhani, V. Talreja, N. M. Nasrabadi, M. Valenti “Using Deep Cross Modal Hashing and Error Correcting Codes for Improving the Efficiency of Attribute Guided Facial Image Retrieval,” in IEEE GlobalSIP, Nov. 26-29, 2018, Anaheim, CA.
  91. X. Sun, N. M. Nasrabadi, T. D. Tran, “Supervised Multilayer Sparse Coding Networks for image classification,” 2018 IEEE International Conference on Image Processing (ICIP'18).
  92. S. Soleymani, A. Dabouei, H. Kazemi, J. Dawson, N. M. Nasrabadi, “ Generalized Bilinear Deep Convolutional Neural Networks for Multimodal Biometric Identification ,” 2018 IEEE International Conference on Image Processing (ICIP'18)
  93. S. M. Iranmanesh, H. Kazemi, S. Soleymani, A. Dabouei, N. M. Nasrabadi, “ Deep Sketch-Photo Face Recognition Assisted by Facial Attributes,” 9th IEEE International Conference on Biometrics: Theory, Applications, and Systems (BTAS 2018). (The Best Poster Paper)
  94. S. Soleymani, A. Dabouei, S. M. Iranmanesh, H. Kazemi, J. Dawson, N. M. Nasrabadi, “ Prosodic-Enhanced Siamese Convolutional Neural Networks for Cross-Device Text-Independent Speaker Verification,” 9th IEEE International Conference on Biometrics: Theory, Applications, and Systems (BTAS 2018).
  95. A. Dabouei, S. Soleymani, H. Kazemi, SM Iranmanesh, Jeremy Dawson, Nasser M. Nasrabadi, “ ID Preserving Generative Adversarial Network for Partial Latent Fingerprint Reconstruction,” 9th IEEE International Conference on Biometrics: Theory, Applications, and Systems (BTAS 2018). (The Best Student Paper)
  96. S. Soleymani, A. Dabouei, H. Kazemi, J. Dawson, N. M. Nasrabadi, “ Multi-Level Feature Abstraction from Convolutional Neural Networks for Multimodal Biometric Identification,” 2018 International Conference on Pattern Recognition (ICPR'18).
  97. A. Soleimani, N. M. Nasrabadi, Elias Griffith, Jason Ralph, Simon Maskell, “Convolutional Neural Networks for Aerial Vehicle Detection and Recognition,” IEEE National Aerospace & Electronics Conference (NAECON) 2018.
  98. A. Torfi, J. Dawson, N. M. Nasrabadi, “ Text-independent speaker verification using 3-D convolutional neural networks,” IEEE Int. Conf. on Multimedia and Expo (ICME'18).
  99. A Soleimani, N. M. Nasrabadi, “ Convolutional Neural Networks for Aerial Multi-Label Pedestrian Detection,” 21st International Conference on Information Fusion (Fusion'18), 2018.
  100. B. S Riggan, N. J Short, M. S Sarfraz, S Hu, H Zhang, V. M Patel, S Rasnayaka, J Li, T Sim, S. M Iranmanesh, N. M Nasrabadi, “ICME grand challenge results on heterogeneous face recognition: polarimetric thermal-to-visible matching,” IEEE International Conference on Multimedia and Expo (ICME), San Diego, CA, 2018. (2nd Place Grand Challenges)
  101. F. Taherkhani, N. M Nasrabadi, Jeremy Dawson, “ A Deep Face Identification Network Enhanced by Facial Attributes Prediction,” IEEE CVPRW 2018. (The Best Workshop Paper)
  102. H Kazemi, S Soleymani, A Dabouei, M Iranmanesh, NM Nasrabadi, “ Attribute-Centered Loss for Soft-Biometrics Guided Face Sketch-Photo Recognition,” IEEE CVPRW 2018.
  103. H. Kazemi, M. Iranmanesh, N. M. Nasrabadi, “ Automatic target recognition using deep convolutional neural networks,” Automatic Target Recognition XXVIII, SPIE Defense and Commercial Sensing,  Gaylord Palms Resort & Convention Center, Orlando, FL, 15 - 19 April 2018.
  104. H. Kazemi, S. M. Iranmanesh, A. Dabouei, S. Soleymani, N. M. Nasrabadi, “Facial Attributes Guided Deep Sketch-to-Photo Synthesis,” IEEE Winter Conf. on Applications of Computer Vision (WCAVW’18), Workshop on Cross-Domain Biometric Recognition, Lake Tahoe, NV, 12-15 March 2018. (The Best Paper Award)
  105. O. Ulutan, B. S. Riggan, N. M. Nasrabadi, B. S. Manjunath, “An Order Preserving Bilinear Model for Person Detection in Multi-Modal Data,” IEEE Winter Conf. on Applications of Computer Vision (WACV 2018), Lake Tahoe, NV, March 12-14, 2018.
  106. S. M. Iranmanesh, A Dabouei, H Kazemi, N. M. Nasrabadi, “ Deep Cross Polarimetric Thermal-to-visible Face Recognition,”  the 11th IAPR International Conferences on Biometrics (ICB'18), 2018, Gold Coast, Australia
  107. A. Dabouei, H. Kazemi, S.M. Iranmanesh, J. Dawson, N.M. Nasrabadi, “ Fingerprint Distortion Rectification using Deep Convolutional Neural Networks,” the 11th IAPR International Conferences on Biometrics (ICB'18), 2018, Gold Coast, Australia. (The Best Student Paper)
  108. V Talreja, MC Valenti, NM Nasrabadi, “ Multibiometric Secure System Based on Deep Learning ,“ in IEEE GlobalSIP, GS-IFS-P.1.6, 2017, Canada.
  109. Minh Dao, Tung-Duong Tran-Luu, Nasser Nasrabadi,  “ Sparsity-based fusion of multiple sensors and multiple features for acoustic transients,”  IEEE Global Conference on Signal and Information Processing (GlobalSIP’16), Greater Washington DC, Dec. 2016.
  110. Xiaoxia Sun, Nasser M. Nasrabadi, Trac D. Tran,  “Invariant hierarchical sparse coding for object recognition via bags of atoms,”  IEEE Global Conference on Signal and Information Processing (GlobalSIP’16), Greater Washington DC, Dec.  2016.
  111. Christopher Reale, Nasser M. Nasrabadi, Rama Chellappa, “ An Analysis of the Robustness of Deep Face Recognition Networks to Noisy Training Labels,” 2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP’16), Greater Washington DC, Dec.  2016.
  112. Ding Liu, Zhaowen Wang, Nasser Nasrabadi, Thomas Huang, Learning a Mixture of Deep Networks for Single Image Super-Resolution” IEEE  ACCV 2016, Taipei, Taiwan, Nov. 2016.
  113. Muchen Wu, Nasser M. Nasrabadi, Srikanth V. Krishnamurthy, Prasant Mohapatra,  “ Resource-aware fusion in multimodal sensing under network constraints ,” IEEE Int. Conference on Computer Communications Workshops (INFOCOM WORKSHOPS), 2016.
  114. Zhangming Ding, Nasser M. Nasrabadi, Yun Fu, “ Task-driven Deep Transfer Learning for Image Classification,” IEEE Int. Conference on Acoustic, Speech, Signal processing (ICASSP’16),  Shanghai, China, 20-25 March 2016.
  115. Xiaoxia Sun, Nasser M. Nasrabadi, Trac D. Tran, “ Sparse Coding with Fast Image Alignment via Large Displacement Optical Flow,” IEEE Int. Conference on Acoustic, Speech, Signal processing (ICASSP’16),  Shanghai, China, 20-25 March 2016.
  116. Christopher Reale, Nasser M. Nasrabadi, Rama Chellappa, “ Seeing the Forest from the Trees: a Holistic Approach to Near-infrared Heterogeneous Face Recognition,” IEEE Int. Conf. on Computer Vision and Pattern Recognition (WCVPR’2015), Las Vegas, USA 27-30 June 2016.
  117. Yang Zhang, Nasser M. Nasrabadi, Mark Hasegawa-Johnson “ Multichannel Transient Acoustic Signal Classification Using Task-driven Dictionary with Joint Sparsity and Beamforming,” IEEE Int. Conference on Acoustic, Speech, Signal processing (ICASSP’15), Brisbane, Australia, 19-24 April 2015.
  118. Minh Dao, Nasser Nasrabadi, Trac D. Tran, “ Multi-Sensor Classification via Sparsity-Based Representation with Low-Rank Interference,” IEEE Int. Conference on Acoustic, Speech, Signal processing (ICASSP’15), Brisbane, Australia, 19-24 April 2015.
  119. Soheil Bahrampour, Nasser M. Nasrabadi, Asok Ray, Kenneth W. Jenkins, “ Kernel Task-Driven Dictionary Learning for Hyperspectral Image Classification,” IEEE Int. Conference on Acoustic, Speech, Signal processing (ICASSP’15), Brisbane, Australia, 19-24 April 2015.
  120. Tianpei Xie, Nasser M. Nasrabadi, Alfred O. Hero III, “S emi-supervised Multi-sensor classification via Consensus-based Multi-View Maximum Entropy Discrimination,” IEEE Int. Conference on Acoustic, Speech, Signal processing (ICASSP’15), Brisbane, Australia, 19-24 April 2015.
  121. Christopher Reale, Nasser M. Nasrabadi, Rama Chellappa “Coupled Dictionary for Thermal to Visible Face Recognition,” IEEE International Conference on Image Processing (ICIP’14), Paris, France, Oct. 27-30, 2014.
  122. Xiaoxia Sun, Nasser M. Nasrabadi, Trac D. Tran, “Task-Driven Dictionary Learning for Hyperspectral Image Classification with Structured Sparsity Priors,” IEEE International Conference on Image Processing (ICIP’14), Paris, France, Oct. 27-30, 2014.
  123. Xiaoxia Sun, Nasser M. Nasrabadi, Trac D. Tran, “ Hyperspectral Image Classification via Task-Driven      Dictionary Learning with Sparsity Prior,” IEEE International Geoscience and Remote Sensing Symposium, (IGARSS’14), Quebec, Canada, 13-18 July, 2014.  
  124. Soheil Bahrampour, Nasser M. Nasrabadi, Asok Ray, Kenneth W. Jenkins “ Quality-based Multimodal Classification Using Tree-Structured Sparsity,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR’14), Columbus, OH, 23-28 June, 2014.
  125. Zhaowen Wang, Zhangyang Wang, Mark Moll, Po-Sen Huang, Devin Grady, Nasser M. Nasrabadi, Thomas Huang, Lydia Kavraki, Mark Hasegawa-Johnson, “ Active Planning, Sensing and Recognition Using a Resource-Constrained Discriminant POMDP,” IEEE CVPR’14, Workshop on Multi-Sensor Fusion for Outdoor Dynamic Scene Understanding, Columbus, OH, 28 June, 2014.
  126. Qing Qu, Xiaoxia Sun, Nasser M. Nasrabadi, Trac D. Tran, “ Subspace Vertex Pursuit for Separable Non-negative Matrix Factorization in Hyperspectral Unmixing,” IEEE Int. Conference on Acoustic, Speech, Signal processing (ICASSP’14),  Florence, Italy, 04-09 May 2014.
  127. Tianpei Xie, Nasser Nasrabadi, Alfred Hero III “ Learning to Classify with Possible Sensor Failures,” IEEE Int. Conference on Acoustic, Speech, Signal processing (ICASSP’14), Florence, Italy, 04-09 May 2014.
  128. Zhaowen Wang, Jianchao Yang, Nasser M. Nasrabadi, Thomas Huang, “ Look Into Sparse Representation-based Classification: A Margin-based Perspective, IEEE Int. Conference on Computer Vision (ICCV’13), Sydney, Australia, 3-6 December, 2013.
  129. Qing Qu, Nasser M. Nasrabadi, Trac D. Tran, “ Hyperspectral Abundance Estimation for the Generalized Bilinear Model with Joint Sparsity Constraint,” IEEE ICASSP 2013, Vancouver, Canada, 27-31 May 2013.
  130. Zhaowen Wang, Nasser M. Nasrabadi, Thomas Huang, “ Discriminative and Compact Dictionary Design for Hyperspectral Image classification Using Learning VQ Framework,” IEEE Int. Conference on Acoustic, Speech, Signal processing(ICASSP’13), Vancouver, Canada, 27-31 May 2013.
  131. Umamahesh Srinivas, Vishal Monga, Nasser M. Nasrabadi, “ Graph-Based Multisensor Fusion for Acoustic Signal Classification,” ,” IEEE Int. Conference on Acoustic, Speech, Signal processing(ICASSP’13),  Vancouver, Canada, 27-31 May 2013.
  132. Zhaowen Wang, Nasser M. Nasrabadi, Thomas Huang, “ Opportunistic Sensing for Object Recognition—-A Unified Formulation   for Dynamic Sensor Selection and Feature Extraction,” IEEE International Conference on Multimedia and Expo (ICME’13) July 15 - 19, 2013, San Jose, CA, USA.
  133. Qing Qu, Nasser M. Nasrabadi, Trac D. Tran, “ Low Rank Representation for Bilinear Abundance Estimation Problem,” IEEE Third Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPER’13) Gainesville, FL., June 2013.
  134. Yi Chen, Nasser M. Nasrabadi, Trac D. Tran, “ Kernel Sparse Representation for Hyperspectral Target Detection,” IEEE Int. Geoscience and Remote Sensing Symposium, (IGARSS’12), Munich, 25-30 July, 2012.
  135. Umamahesh Srinivas, Yi Chen, Vishal Monga, Nasser M. Nasrabadi, Trac D. Tran, “ Discriminative Graphical Models for   Sparsity-based Hyperspectral Target Detection,” IEEE Int. Geoscience and Remote Sensing Symposium, (IGARSS’12), Munich, 25-30 July, 2012. ( BEST STUDENT PAPER)
  136. Yi Chen, Nasser M. Nasrabadi, Trac D. Tran, “ Discriminative Dictionary Design Using LVQ for Hyperspectral Image   Classification ,” IEEE Third Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPER’12) in Japan, June 2012.
  137. Sumit Shekhar, Vishal M. Patel, Nasser M. Nasrabadi and Rama Chellappa, " Joint sparsity-based robust multimodal biometrics recognition," European Conference on  Computer Vision (ECCV) Workshop on Information Fusion in Computer Vision for Concept Recognition (IFCVCR ), Florence, Italy, 2012.
  138. Hien V. Nguyen, Vishal M. Patel, Nasser M. Nasrabadi, and Rama Chellappa, " Sparse embedding: a framework for sparsity promoting dimensionality reduction," European Conference on Computer Vision (ECCV), Florence, Italy, 2012.
  139. Haichao Zhang, Yanning Zhang  Nasser M. Nasrabadi and Thomas S. Huang, “ Joint Dynamic Sparse Learning and Its Application to Multi-View Face Recognition,”  International Conference on Pattern Recognition (ICPR), Japan, 2012  
  140. Haichao Zhang, Nasser M. Nasrabadi, Yanning Zhang, Thomas S. Huang, ” Heterogeneous Multi-Metric Learning for Multi-Sensor Fusion,” IEEE ICASSP 2012, Kyoto, Japan, 25-30 March 2012.
  141. Hien Van Nguyen, Vishal M. Patel, Nasser M. Nasrabadi, and Rama Chellappa, “ Kernel Dictionary Learning,” IEEE ICASSP 2012, Kyoto, Japan, 25-30 March 2012.
  142. Nam Nguyen, Nasser M. Nasrabadi, Trac D. Tran, “ Robust Lasso with Missing and grossly  corrupted observations,” NIPS, Spain, Dec. 2011.
  143. Nam Nguyen, Nasser M. Nasrabadi, Trac D. Tran,” Robust Multi-Sensor Classification via Joint Sparse Representation,” IEEE Fusion 2011, Chicago, IL. 5-8 July, 2011.
  144. Yi Chen, Nasser M. Nasrabadi, Trac D. Tran, “ Hyperspectral Image Classification via Kernel Sparse Representation,” IEEE ICIP, Brussels, Belgium, 2011.
  145. Yi Chen, Nasser M. Nasrabadi, Trac D. Tran, “ Random Projection as Dimensionality Reduction and its Effect on Classical Target Recognition,” IEEE Third Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPER’11) in Portugal June 2011.
  146. Yi Chen, Nasser M. Nasrabadi, Trac D. Tran, “ Sparsity-Based Classification of Hyperspectral Imagery,” Orlando, Florida, in Proc. of SPIE, 25-29 April, 2011.
  147. Yi Chen, Nasser M. Nasrabadi, Trac D. Tran, “ Effect of Random Projection on the Performance of Classical Hyperspectral Target Recognition,” Orlando, Florida, in Proc. of SPIE, 25-29 April, 2011.
  148. Haichao Zhang, Nasser M. Nasrabadi, Yanning Zhang, Thomas S. Huang, “ Multi-observation Visual Recognition via Joint Dynamic Sparse Representation,” ICCV’2011, Barcelona, Spain, 6-13 September 2011.
  149. Haichao Zhang, Jianchao Yang, Nasser M. Nasrabadi, Yanning Zhang, Thomas S. Huang, “ Close the Loop: Joint Blind Restoration and Recognition with Sparse Representation Prior,” ICCV’2011, Barcelona, Spain, 6-13 September 2011.  (BEST STUDENT PAPER)
  150. Haichao Zhang, Nasser M. Nasrabadi, Yanning Zhang, Thomas S. Huang, “ Multi-View Face Recognition via Joint Dynamic Sparse Representation,” ICIP 2011, Brussels, Belgium .
  151. Haichao Zhang, Nasser M. Nasrabadi, Yanning Zhang, Thomas S. Huang, ” Heterogeneous Multi-Metric Learning for Multi-Sensor Fusion,” Fusion 2011, Chicago, IL. 5-8 July, 2011.
  152. Haichao Zhang, Nasser M. Nasrabadi, Yanning Zhang, Thomas S. Huang, “ Joint Sparse Representation-based Automatic Target recognition in SAR Imagery,” Orlando, Florida, in Proc. of SPIE, 25-29 April, 2011.
  153. Haichao Zhang, Nasser M. Nasrabadi, Yanning Zhang, Thomas S. Huang, “ Joint Structured Sparsity Acoustic Signal Classification,” ICASSP 2011, Prague, Czech Republic, 2011.
  154. Yi Chen, Nasser M. Nasrabadi, Trac D. Tran, “ Joint Sparsity Target Detection in Hyperspectral Imagery”, Proc. Of 27th Army Science Conference, Orlando, Florida, 29 Nov.-2 Dec., 2010.
  155. Yi Chen, Nasser M. Nasrabadi, Trac D. Tran, “ Sparsity-Based Hyperspectral Image Segmentation,” IEEE Second Workshop on Hyperspectral Image and Signal Processing:Evolution in Remote Sensing (WHISPER10) in Iceland June 2010.
  156. Yi Chen, Nasser M. Nasrabadi, Trac D. Tran, “ Sparsity-Based Classification of Hyperspectral Imagery,” IEEE Int. Geoscience and Remote Sensing Symposium, (IGARSS’10), Hawaii, 25-30 July, 2010.
  157. Yi Chen, Nasser M. Nasrabadi, Trac D. Tran, “ Sparsity-Based Classification of Hyperspectral Imagery,” Orlando, Florida, in Proc. of SPIE, 5-9 April, 2010.
  158. Vishal M. Patel, Nasser M. Nasrabadi, Rama Chellappa, “ Automatic Target Recognition Based on Simultaneous Sparse Representation,” Hong Kong, Hong Kong, IEEE Int. Conference on Image Processing, Sept. 12-15, 2010.
  159. Vishal M. Patel, Nasser M. Nasrabadi, Rama Chellappa, “ Sparsity Inspired Automatic Target Recognition,” Orlando, Florida, in Proc. of SPIE 5-9 April, 2010.
  160. Nasser M. Nasrabadi, Asif Mehmood, “ Anomaly Detection in Wavelet Domain for Longwave FLIR Imagery,” Orlando, Florida, in Proc. of SPIE 5-9 April, 2010.
  161. Nasser M. Nasrabadi, Asif Mehmood, “ Anomaly Detection for Long-wave FLIR Imagery Using Kernel Wavelet-RX,” IEEE Int. Conference on Pattern Recognition, Istanbul, Turkey, 23-26 August, 2010.
  162. Nasser M. Nasrabadi, “ Weiner-based change detection,” IEEE Int. Geoscience and Remote Sensing Symposium, (IGARSS”09), Cape Town, South Africa, 2009.
  163. Nasser M. Nasrabadi, “ Kernel Subspace-Based Anomaly Detection for Hyperspectral,” IEEE First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPER09) in France August 2009.
  164. Nasser M. Nasrabadi, “ Kernel-Based Joint Fusion/Detection of Anomalies Using Hyperspectral and SAR Imagery,” Orlando, in Proc. of SPIE 2009
  165. Nasser M. Nasrabadi, “ Multisensor Joint Fuson and Detection of Mines Using SAR and Hyperspectral,” IEEE Sensors Conf., Lecce Italy, Oct. 26-29 2008.
  166. Nasser M. Nasrabadi, “ A Nonlinear Kernel-Based Joint Fusion/Detection of Anomalies Using SAR and Hyperspectral Imagery,” IEEE Int. Conf. on Image Processing, ICIP2008, San Diego, Oct., 12-16, 2008.
  167. Nasser M. Nasrabadi, “ Joint Fusion and Detection of Mines Using Hyperspectral and SAR data,” Proc. of SPIE vol. 6812, 6812OU-1, San Jose, 28-29 Jan. 2008.
  168. Nasser M. Nasrabadi, “ Regularization for Spectral matched Filter and RX Anomaly Detection,” Proc. of SPIE Vol. 6966, 696604, Orlando, March 16-20, 2008.
  169. Nasser M. Nasrabadi, “ Regularization for Designing Spectral Matched Filter Target Detectors,” SPIE Optics and Photonics, San Diego, CA, 26-30 Aug. 2007.
  170. Nasser M. Nasrabadi, “ Regularized Spectral Matched Filter for Target Detection in Hyperspectral Imagery,” IEEE Int. Conf. on Image Processing, ICIP2007, San Antonio, Sept., 16-19, 2007.
  171. Nasser M. Nasrabadi, “ Penalized Spectral Matched Filter for Target Detection in Hyperspectral Imagery,” IEEE Int. Geoscience and Remote Sensing Symposium,IGRASS07, 23-27 July, 2007, Barcelona, Spain.
  172. Hirsh Goldberg and Nasser M. Nasrabadi, “ A Comparative Study of Linear and Nonlinear Anomaly Detectors for Hyperspectral Imagery,” SPIE Defense & Security Symposium 2007, Vol. 6497, Orlando, March 2007 .
  173. Lance Kaplan and Nasser M. Nasrabadi, “ Sensors and Information Processing”, Army Science Conference 2006, Orlando, FL, Nov. 2006.
  174. M. Tates, Nasser M. Nasrabadi and Heesung Kwon, “ Winner Filter-based Change Detection for SAR Imagery,” SPIE Defense & Security Symposium 2006, Vol. , Orlando, , March 2006 .
  175. H. Kwon and Nasser Nasrabadi, “ Kernel Canonical Correlation Analysis for Hyperspectral Target Detection,” SPIE Defense & Security Symposium 2006, Vol. 6233, Orlando, March 2006 .
  176. H. Kwon and Nasser M. Nasrabadi, “ Kernel Matched Signal Detectors for Hyperspectral Target    Detection,” IEEE workshop on Object Tracking and Classification Beyond the Visible Spectrum, San Diego, CA, June 2005.
  177. H. Kwon and Nasser M. Nasrabadi, `` Hyperspectral Target Detection Using Kernel Orthogonal Subspace Projection", IEEE Int. Conf. on Image Processing, ICIP2005, Genova, Italy, 24-27 October, 2005.
  178. H. Kwon, Sandor Z. Der, Nasser M. Nasrabadi, `` Non-linear Anomaly Detection RX-Algorithm’’ , SPIE Proc. Defense & Security Symposium 2005, Vol. 5806, Orlando, 29-31, March 2005.
  179. H. Kwon, Sandor Z. Der, Nasser M. Nasrabadi,  ``A Comparative Study of Kernel Spectral Matched Signal Detectors for Hyperspectral Target Detection’’, SPIE Proc. Defense & Security Symposium 2005, Vol. 5806, Orlando, 29-31, March 2005.
  180. H. Kwon and Nasser M. Nasrabadi, `` Kernel Adaptive Subspace Detector for Hyperspectral Target Detection’’, Proc. Of the IEEE Int. Conference on Acoustic, Speech, Signal processing (ICASSP’05), 20-23, March 2005.
  181. H. Kwon and Nasser M. Nasrabadi, `` Kernel Spectral Matched Filter for Hyperspectral target Detection’’, Proc. of the IEEE Int. Conference on Acoustic, Speech, Signal processing (ICASSP’05), 20-23, March 2005.
  182. Heesung Kwon and Nasser M. Nasrabadi, “ Kernel-Based Anomaly Detection in Hyperspectral Imagery”, Sensors and Information Processing, Army Science Conference 2004, Orlando, FL, Nov. 2004.
  183. H. Kwon and Nasser M. Nasrabadi, " Hyperspectral Anomaly Detection Using Kernel RX-Algorithm", IEEE Int. Conf. on Image Processing, ICIP2004, Singapore, 24-27 October, 2004.
  184. H. Kwon and Nasser M. Nasrabadi, " Hyperspectral Target Detection Using Kernel Matched Subspace Detector”, IEEE Int. Conf. on Image Processing, ICIP2004, Singapore, 24-27 October, 2004.
  185.  H. Kwon and Nasser M. Nasrabadi, " Kernel-Based Subpixel Target Detection in Hyperspectral Images", IEEE Int. Joint Conf. on Neural Networks, IJCNN 2004, Budapest Hungary, 25-29 July, 2004. 
  186. H. Kwon and Nasser M. Nasrabadi, " Hyperspectral Target Detection Using Kernel Spectral Matched filter,” Joint IEEE Workshop on Object Tracking and Classification Beyond the Visible Spectrum (OTCBVS’04), Washington DC, July 02, 2004.
  187. H. Kwon, Sandor Z. Der, Nasser M. Nasrabadi, ‘’ Clutter Rejection in FLIR Imagery Using Spatially-Varying Adaptive Filtering’’, IEEE Int. Conf. On Image Processing, Barcelona, Spain, Sept. 14-17, 2003.
  188. H. Kwon, Sandor Z. Der, Nasser M. Nasrabadi, `` Projection-based Adaptive Anomaly Detection for Hyperspectral Imagery’’, IEEE Int. Conf. On Image Processing, Barcelona, Spain, Sept. 14-17, 2003.
  189. S. Susan Young, Heesung Kwon, Sandor Z. Der, Nasser M. Nasrabadi, `` Adaptive Target Detection in FLIR Imagery Using the Eigenspace Separation Transform and Principal Component Analysis’’, SPIE Proc. Aerospace/Defense Sensing and Controls 2003, Vol. 5094, Orlando, 22-24, April 2003.
  190. H. Kwon, Sandor Z. Der, Nasser M. Nasrabadi, `` Dual Window-Based Anomaly Detection for Hyperspectral Images’’, SPIE Proc. Aerospace/Defense Sensing and Controls 2002, Vol. 5094, Orlando, 22-24, April 2003.
  191. D. S. Rosario,  Higher Order Zero Crossings for FLIR ATR, SPIE Proc. Aerospace/Defense Sensing and Controls 2002, Vol. 5094, Orlando, 22-24, April 2003.
  192.  Lipchen Alex Chan, Sandor Der, and Nasser M. Nasrabadi, `` Infrared-Image Classification Using Support Vector Machine’’, Proc. Of the IEEE Int. Conference on Acoustic, Speech, Signal processing  (ICASSP’03), 7-10, March 2003.
  193. S. Susan Young, Heesung Kwon, Sandor Z. Der, Nasser M. Nasrabadi, Proc. Of the IEEE Int. Conference on Acoustic, Speech, Signal processing  (ICASSP’03), 7-10, March 2003.
  194. Rizvi Syed A. and Nasser Nasrabadi, SPIE Proc. Electronic Imaging: Science and Technology 2003,  Automatic Target Recognition of Cluttered FLIR Imagery Using Multistage Feature Extraction and Feature Repair, Vol. 5015, San Jose, Jan. 2003.
  195. 107.                    Shaorong Chang, Lawrence Carin, Sandor Der, and Nasser M. Nasrabadi,  Infrared-Image Classification Using Support Vector Machine, Proc. Of the IEEE Int. Conference on Acoustic, Speech, Signal processing  (ICASSP’02), May 2002.
  196. Suhow Lim, N. M. Nasrabadi, and R. M. Mersereau,  Boosting for ATR classifiers, SPIE Proc. Aerospace/Defense Sensing and Controls 2002, Vol. 4726, Orlando, 1-4, April 2002.
  197. Rizvi Syed A., and Nasser Nasrabadi,  Fusion of Automatic Target Recognition Algorithm, SPIE Proc. Aerospace/Defense Sensing and Controls 2002, Vol. 4726, Orlando, 1-4, April 2002.
  198. Mark Wellman and Nasser M. Nasrabadi,  Hyperspectral Imagery and Segmentation, SPIE Proc. Aerospace/Defense Sensing and Controls 2002, Vol.4726, Orlando, 1-4, April 2002.
  199. Suhow Lim, N. M. Nasrabadi, and R. M. Mersereau, Suhow Lim, N. M. Nasrabadi, and R. M. Mersereau,  Boosting to Improve LVQ ATR classifiers, SPIE Proc. Electronic Imaging: Science and Technology 2002, Vol. 4668, San Jose, Jan. 2002.
  200. Rizvi Syed A. and Nasser Nasrabadi, SPIE Proc. Electronic Imaging: Science and Technology 2002,  Fusion of ATR Classifiers, Vol. 4668, San Jose, Jan. 2002.
  201. Lipchen Alex Chan, Sandor Der, and Nasser M. Nasrabadi,  Dual-Band FLIR Fusion for Target Detection, SPIE Proc. Electronic Imaging: Science and Technology 2002,  Dual-band FLIR Fusion for Target Detection, Vol. 4668, San Jose, Jan. 2002.
  202. Heesung Kwon, Sandor Z. Der, and Nasser M. Nasrabadi, “ An adaptive segmentation algorithm using iterative local feature extraction for hyperspectral imagery,” Proc. IEEE Int. Conf. on Image Processing 2001, Vol. 1, pp. 74-77, Thessaloniki, Greece, Oct. 2001.
  203. Lipchen Alex Chan, Sandor Der, and Nasser M. Nasrabadi, “ Joint Compression and Discrimination Algorithm For Clutter Rejection,” Proc. IEEE Int. Conf. on Image Processing 2001, Vol. 1, pp. 525-528, Thessaloniki, Greece, Oct. 2001.
  204. Lipchen Alex Chan, Sandor Der, and Nasser M. Nasrabadi, “ An Improved Target Detection Algorithm Using Dualband Infrared Imagery,” SPIE Proc. Aerospace/Defense Sensing and Controls 2001}, Vol. 4379, Orlando, April 2001.
  205. Heesung Kwon, Sandor Z. Der, and Nasser M. Nasrabadi, “ Multisensor target detection using feature-based fusion,” SPIE Proc. Aerospace/Defense Sensing and Controls 2001}, Vol. 4379, pp. 112-123, Orlando, April 2001.
  206. Kaplan Lance M., Namuduri K. R., Davies M., Nasrabadi N. M., Chan L. A., “ Development and Anaylysis of a Clutter Complexity Measure for ATR Characterization,” ARL Federated Laboratory 5th Annual Symposium, Univ. of Maryland, Adelphi, MD, March 20-22, 2001.
  207. Heesung Kwon, Sandor Z. Der, and Nasser M. Nasrabadi, “ An adaptive unsupervised segmentation algorithm based on an iterative spectral dissimilarity measure for hyperspectral imagery,” SPIE Proc. Electronic Imaging 2001/Visual Communications and Image Processing 2001, Vol. 4310, pp. 144-152, San Jose, CA, vol. 4310, pp 144-152, Jan. 2001.
  208.  Lipchen Alex Chan, Nasser M. Nasrabadi, Sandor Z. Der,  Dual-Band FLIR ATR Status and Value to FCS, Proc. 22nd Army Science Conference, Baltimore, Dec. 2000. [Best Paper Award]
  209. K. R. Namuduri, L. M. Kaplan, N. M. Nasrabadi, and L. A. Chan,  Development of A Clutter Complexity Measure, Proc. 22nd Army Science Conference}, Baltimore, Dec. 2000.
  210. Syed A. Rizvi and Nasser Nasrabadi,  A modular Clutter Rejection Technique for FLIR Imagery Using Region-Based Principal Component Analysis, IEEE International conference on Image Processing, ICIP 2000 Vancouver, Canada, Sept., 10-13 2000.
  211. Heesung Kwon, Sandor Z. Der, and Nasser M. Nasrabadi,  An adaptive hierarchical segmentation algorithm Based on Quadtree Decomposition for Hyperspectral Imagery, IEEE International conference on Image Processing, ICIP 2000 Vancouver, Canada, Sept., 10-13 2000.
  212.  Lipchen Alex Chan, Sandor Der, and Nasser M. Nasrabadi,  Dualband Passive Infrared Imagery for Automatic Clutter Rejection, Accepted for IEEE Int. Conf. on Image Processing 2000, Vancouver, Canada, Sep. 2000.
  213. Lipchen Alex Chan, Sandor Z. Der, and Nasser M. Nasrabadi,  Analysis of Dualband FLIR Imagery for Automatic Target Recognition, Proc. SPIE Int. Symposium on Optical Science and Technology: Critical Review of Smart Imaging Systems}, Vol. CR78, San Diego, July 2000.
  214. Lipchen Alex Chan, Sandor Der, and Nasser M. Nasrabadi,  Automatic Target Detection Using Dualband Infrared Imagery, in IEEE Int. Conf. on Acoustics, Speech, and Signal Processing}, pp. 2286-2289, vol. 4, Istanbul, Turkey, June 2000.
  215. Lipchen Alex Chan, Sandor Z. Der, and Nasser M. Nasrabadi,  Neural Network Based Transformation for Joint Compression and Discrimination, SPIE Proc. Electronic Imaging: Science and Technology 2000}, vol. 3962, pp. 72--82, San Jose, Jan. 2000.
  216. K. R. Namuduri, L. A. Chan, N. M. Nasrabadi, and others,  Evaluation of Image Metrics for Characterization of Clutter Complexity, Proc. Advanced Sensors Consortium, 4th Annual ARL Federated Laboratory Symposium, pp. 293--297, College Park, Maryland, March 2000.
  217. Lipchen Alex Chan, Sandor Der, and Nasser M. Nasrabadi,  Application of Dualband Infrared Imagery in Automatic Target Detection, SPIE Proc. Aerospace/Defense Sensing and Controls 2000, pp. 282-293, Vol. 4050, Orlando, April 2000.
  218. Syed A. Rizvi and Nasser M. Nasrabadi, and Sandor Z. Der,  A Clutter Rejection Technique for FLIR Imagery Using Region-Based Principal Component Analysis, IEEE Int. Conference on Image Processing, ICIP'99, Oct. 25-28 1999, Kobe, Japan.
  219. Syed A. Rizvi and Nasser M. Nasrabadi,  Lossless Image Compression Using Modular Differential Pulse Code Modulation, IEEE Int. Conferenc eon Image Processing, ICIP'99, Oct. 25-28 1999, Kobe, Japan.
  220. Lipchen Alex Chan, Nasser M. Nasrabadi and Don Torrieri,  Bipolar Eigenspace Separation Transformation for Automatic Clutter Rejection, IEEE Int. Conferenc eon Image Processing, ICIP'99, pp. 139-142, vol. 1, Oct. 25-28 1999, Kobe, Japan.
  221.  Lipchen Alex Chan, Sandor Der, and Nasser M. Nasrabadi,  Analysis of Passive Dualband Infrared Imagery for Automatic Target Detection, Proc. U.S. Army Hyper-spectral Workshop}, Redstone Arsenal, Alabama, Sep. 1999.
  222.  L. Kinnard, N. Nasrabadi and M.F. Chouikha,  Preprocessing of Hyperspectral Images for Classification, 3rd Annual Federated Laboratory Symposium on Advanced Telecommunication/Information Distribution Research Program (ATIRP) College Park, MD February 2-4, 1999
  223.  Heesung Kwon, Sandor Z. Der, Nasser M. Nasrabadi, and Hyeonjoon Moon,  Use of Hyperspectral Imagery for Material Classification in Outdoor Scenes, SPIE, in 44rd annual Conf., SPIE Symposium on Algorithms, Devices, and Systems for Optical Information Processing, Vol. 3466, 12-14 July, 1999, San Diego, CA.
  224. Lipchen Alex Chan, Nasser M. Nasrabadi and Don Torrieri,  Selectively Optimized Networks for Automatic Target Recognition, IEEE Int. Joint Conf. on Neural Networks, IJCNN'99, July 10-16, 1999, Washington, DC.
  225. L. A. Chan, N. M. Nasrabadi,  Clutter Rejection Using Eigen Transformation, SPIE, Aerosense'99, SPIE Automatic Target Recognition XI, 5-9 of April, 1999, Orlando, Florida, USA.
  226. Anne Marie P. Marinelli, Lance M. Kapland, and N. M. Nasrabadi,  SAR ATR Using a Modified Learning Vector Quantization Algorithm, SPIE, Aerosense'99, SPIE Automatic Target Recognition XI, 5-9 of April, 1999, Orlando, Florida, USA.
  227.  L. A. Chan, and N. M. Nasrabadi,  Wavelet-Eigen Transformation For Automatic Target Recognition, SPIE, in Photonic West'99,SPIE Symposium on Applications of Artificial Neural Networks in Image Processing, IS&T/SPIE Proceedings Jan. 1999.
  228. Anne Marie P. Marinelli, Lance M. Kapland, and N. M. Nasrabadi,  SAR ATR Using Learning Vector Quantization SPIE, in Photonic West'99,SPIE Symposium on Applications of Artificial Neural Networks in Image Processing, Vol. 3647, Applications of Artificial Neural Networks in Image Processing, IS&T/SPIE Proceedings Jan. 1999. IS&T/SPIE Proceedings Jan. 1999.
  229. Syed A. Rizvi, and N. M. Nasrabadi, Neural Networks for Image Coding: a survey, SPIE, in Photonic West'99,SPIE Symposium on Applications of Artificial Neural Networks in Image Processing, Vol. 3647, pp. 46-57, IS&T/SPIE Proceedings Jan. 1999.
  230. Kwon, H.-S., M. Venkatraman, N. M. Nasrabadi,  Very Low Bit Rate Video Codec Using Quadtree Decomposition and Cache Based Vector Quantization, ICIP'98, Int. Conf. on Image Processing, 4-7 Oct. 1998, Chicago, IL.
  231. Lin-Chen Wang, S. Der, S. Rizvi, and N. M. Nasrabadi,  Automatic Target Recognition Using Neural Networks,  SPIE, in 43rd annual Conf., SPIE Symposium on Algorithms, Devices, and Systems for Optical Information Processing, Vol. 3466, pp. 278-289, 20-23 July, 1998, San Diego, CA.
  232. L. A. Chan, N. M. Nasrabadi, and Don Torreri,  Discriminative Eigen Targets for Automatic Target Recognition,  SPIE, Aerosense'98, SPIE Automatic Target Recognition VI, 13-17 of April, 1998, Orlando, Florida, USA.
  233.  Li, B., Q. Zheng,  S.Z. Der, R. Chellappa, N.M. Nasrabadi, L.A. Chan, L.C. Wang,  Experimental evaluation of neural, statistical, and model-based approaches to FLIR ATR, SPIE, Aerosense'98, SPIE Automatic Target Recognition VI, 13-17 of April, 1998, Orlando, Florida, USA.
  234.  Kwon, H.-S., M. Venkatraman, N. M. Nasrabadi,  Quadtree-Based Vector Quantization for Very Low Bit Rates Video Coding, 2nd Annual Federated Laboratory Symposium, PP. 287-291, Feb. 2-6 1998, College Park, MD.
  235. L-C. Wang, S. Der, and N. M. Nasrabadi,  Automatic Target Recognition Using a Feature-Decomposition and Data-Decomposition  Modular Neural Network, in Photonic West'98,SPIE Symposium on  Applications of Artificial Neural Networks in Image Processing, IS&T/SPIE Proceedings Vol. 3037, 26-27 Jan. 1998.
  236.  L-C. Wang, S. Der, and N. M. Nasrabadi,  Combination of Two Learning Algorithms for Automatic Target Recognition, in IEEE Int. Conf. on Image Processing, ICIP'97, Santa Barbara, 26-29 October, 1997.
  237. Rizvi, S., L.-C. Wang, and N. M. Nasrabadi,  Rate-Constrained Modular Predictive Residual Vector Quantization, in IEEE Int. Conf. on Image Processing, ICIP'97, Santa Barbara, 26-29 October, 1997.
  238. Lin-Cheng Wang, Sandor Der, and Nasser M. Nasrabadi,  Neural Net Classifier Automatic Target Recognition FLIR Imagery Stacked Generalization, Int. Conf. on Neural Networks, ICNN97, Westin Galleria Hotel, Houston, Texas, USA.
  239. Lin-Cheng Wang, Sandor Der, and Nasser M. Nasrabadi,  Asymptotical Analysis of Modular Neural Network, Int. Conf. on Neural Networks, ICNN97, Westin Galleria Hotel, Houston, Texas, USA.
  240. Kwon, H.-S., M. Venkatraman, N. M. Nasrabadi,  Very Low Bit Rate Video Codec Using Variable Blocksize Entropy-Constrained Residual Vector Quantizers, IEEE Int. Conf. Symposium on Circuits and Systems, Hong Kong Convention and Exhibition Center, Hong Kong, June 9-12, 1997.
  241. L-C Wang, S. A. Rizvi, and N. M. Nasrabadi,  A Predictive Residual VQ Using Modular Neural Network Vector Predictor, IEEE Int. Conf. on Acoustics, Speech, and Signal Processing, April 21-24, 1997, Munich, Germany.
  242. Kwon, H.-S., M. Venkatraman, N. M. Nasrabadi,  Very Low Bit Rate Compression for one-to-N Video Broadcast, SPIE AeroSense'97 Symposium on Defense Sensing, Simulation, and Control, Conf. 3078 Wavelet Applications, 20-25 April 1997.
  243. L-C Wang, S. Der, S. A. Rizvi, and N. M. Nasrabadi,  Automatic Target Recognition Using a Modular Neural Network with Directional Variance Features, in Photonic West'97, SPIE Symposium on Applications of Artificial Neural Networks in  Image Processing, IS\&T/SPIE Proceedings Vol. 3030, 12-13 Feb., 1997,  San Jose, CA, USA.
  244. Kwon, H.-S., M. Venkatraman, N. M. Nasrabadi,  Compression of SAR Imagery, in Photonic West'97, SPIE Symposium on Visual Communications and Image Processing, VCIP'97, IS&T/SPIE Proceedings Vol. 3024, 12-14 Feb., 1997, San Jose, CA, USA.
  245. Kwon, H.-S., M. Venkatraman, N. M. Nasrabadi,  Very Low Bit Rate Coding Using Entropy-Constrained Residual Vector Quantization, Advanced Telecommunications, Information Distribution Research Program, ATIRP'97, Jan. 21-22, 1997.
  246.  Lipchen A. Chan, Nasser M. Nasrabadi, and Vincent Mirelli,  Automatic Target Recognition using Vector Quantization, Proc. Automatic Target Recognizer Working Group, System and Tech. Symposium, Laurel, Maryland, July 1996.
  247. Lipchen Alex Chan and Nasser M. Nasrabadi,  An Application of Wavelet-based Vector Quantization in Target Recognition, Proc. IEEE Symposium Image, Speech, and Natural Language Systems}, pp.274-281, Washington DC, Nov. 1996.
  248. Syed A. Rizvi, Lipchen Alex Chan, Vincent Mirelli, Nasser M. Nasrabadi, Lin-Cheng Wang, Sandor Der, and Mark Hamilton,  Mixture-of-Experts Approach to Target Recognition in FLIR Imagery, Proc. Third Workshop on Conventional Weapon ATR: Detection, Classification, Recognition, Identification of Targets and Clutter}, Redstone Arsenal, Alabama, Nov 13--15, 1996.
  249. Lipchen Alex Chan and Nasser M. Nasrabadi,  Modular Wavelet-based Vector Quantization for Automatic Target Recognition, Proc. IEEE Int. Conf. Multisensor Fusion and Integration for Intelligent Systems}, pp.~462--469, Washington DC, Dec. 1996.
  250. Rizv, S. A., Lin-Cheng Wang, and N. M. Nasrabadi,  Adaptive Predictive Residual Vector Quantization with Application to FLIR Images and Video, Submitted to IEEE Int. Conf. on Image Processing (ICIP'96), Lausanne, Switzerland, Sept. 16-19, 1996.
  251.  Nasrabadi, N. M., and J. P. Sattler,   Techniques for high compression of battlefield surveillance SAR imagery, 20th Army Science Conference, 24-27 June 1996, Norfolk, VA, USA.
  252. Lipchen, A. C., N. M. Nasrabadi, and V. Mirelli,  Multi-stage target recognition using modular vector quantizers and multi-layer perceptrons, IEEE Int. Conf. in Computer Vision and Pattern Recognition, CVPR'96, June 18-20, 1996, San Fransico, CA.
  253.  Jang, E. S., H. Kwon, L.C. Wang, A. Rizvi, and N. M. Nasrabadi,  Segmentation-Based Wavelet Coding of Digital Images,  in IEEE Int. Conf. on Acoustics, Speech, and Signal Processing, 7-10 May 1996, Atlanta, GA, USA.
  254. Lipchen, A. C., N. M. Nasrabadi, and V. Mirelli,  Automatic Target Recognition Using Modularly Cascaded Vector Quantizer and Multi-layer Perceptrons, in IEEE Int. Conf. on Acoustics, Speech, and Signal Processing, 7-10 May 1996, Atlanta, GA, USA.
  255. Park, S. H., H. J. Moon, and N. M. Nasrabadi,   Subband Image Coding Using Block-Zero Tree Coding and Vector Quantization, in IEEE Int. Conf. On on Acoustics, Speech, and Signal Processing, 7-10 May 1996, Atlanta, GA, USA.
  256.  N. M. Nasrabadi, J. P. Sattler, H. Kwon, and S. A. Rizvi,  High Compression of SAR Imagery for Battlefield Surveillance, SPIE AeroSense'96 Symposium on Image Exploitation and  Target Recognition, 8-10 April 1996.
  257. Chan, N. M. Nasrabadi, and V. Mirelli.  Wavelet-based Learning Vector Quantization for Automatic Target Recognition, SPIE AeroSense'96 Symposium on Image Exploitation and Target Recognition, 8-10 April 1996.
  258.  Rizvi, S. A., and N. M. Nasrabadi,  Entropy-constrained finite-state residual vector quantization: A new scheme for low bit rate coding, SPIE Symposium on Visual Communications and Image Processing'96:  (VCIP'96) Orlando, Florida, 17-20 March, 1996.
  259. Wang, L-C., S. A. Rizvi, N. M. Nasrabadi, and V. Mirelli,  Adaptive Neural Network Vector Predictor, in Photonic West'96, SPIE Symposium on Applications of Artificial Neural Networks in  Image Processing, IS\&T/SPIE Proceedings Vol. 2664, 1-2 Feb., 1996,  San Jose, CA, USA.
  260. Rizv, S. A., N. Mohsenian, and N. M. Nasrabadi,  Color Image Compression Using Neural Networks Prediction of Color components, in SPIE Symposium on Applications of Artificial Neural Networks in Image Processing, IS\&T/SPIE Proceedings Vol. 2664, 1-2 Feb., 1996, San Jose, CA, USA.
  261. C. Y. Choo, C. H. Cheng, and N. M. Nasrabadi, Interframe Hierarchical Vector Quantization Using Hasing-Based Reorganized Codebook, SPIE Conf. on Coding and Signal Processing for Inf. Storage, Photonic East, 24-26 Oct. 1995, Pennsylvania, Convention Center, Philadelphia, PA, USA.
  262. Rizv, S. A., Lin-Cheng Wang, and N. M. Nasrabadi,  Entropy-constrained Predictive Residual Vector Quantization, SPIE Conf. on Coding and Signal Processing for Inf. Storage, Photonic East, 24-26 Oct. 1995, Pennsylvania, Convention Center,  Philadelphia, PA, USA.
  263. Rizv, S. A., N. M. Nasrabadi and Lin-Cheng Wang,  "Entropy-constrainedPredictive Residual Vector Quantization on Digital Images," in Proc. of First IEEE Int. Conf. on Image Processing, ICIP'95, 13-16 Oct. 1995, Washington, DC.
  264. Rizvi, R. A., L. C. Wang and N. M. Nasrabadi,  "Neural Networks Architectures for Vector Quantization," in Proc. of First IEEE Int. Conf. on Image Processing, ICIP'95, 13-16 Oct. 1995, Washington, DC.
  265.  Kim, J. S., Park, S. H., P. W. Dowd, and N. M. Nasrabadi,  A modified Hopfield network approach for cellular radio channel assignment, Proc. 45th IEEE Vehicular Technology Conference, Rosemont, Illinois, July 26-28, 1995, pp. 589-593.
  266. Kim, J. S., Park, S. H., P. W. Dowd, and N. M. Nasrabadi,  Comparison of two optimization techniques for channel assignment in cellular radio networks, Proc. IEEE International conference on Communications, Seattle, Washington, June 18-22, 1995, 1850-1854.
  267. Kim, J. S., Park, S. H., P. W. Dowd, and N. M. Nasrabadi,  Genetic algorithm approach to the channel assignment, Proc. 1995 Asia Pacific Conference on Communications, Osaka, Japan, June 14-16, 1995, pp. 5D.2.1-4.
  268. Mirelli, V., D. Nguyen, and N. M. Nasrabadi,  "Target Recognition for FLIR Imagery Using Learning Vector Quantization and Multi-Layer Perceptrons," SPIE's Int. Symposium on Aerospace/Defense Sensing \& Control and Dual-Use Photonics, 17-21 April 1995, Orlando, Florida.
  269. Rizvi, S. A., and N. M. Nasrabadi,  "Variable-Rate Predictive Residual Vector Quantizer," SPIE/IEEE Int. Symposium on Visual Communications and Image Processing'95: 23-26 May 1995, Taipei, Taiwan.
  270. Rizvi, S. A., and N. M. Nasrabadi,  "Finite-State Residual Vector Quantization Using Tree-Structured Competitive Neural Network," in IEEE Int. Conf. on Acoustics, Speech, and Signal Processing, 9-12, May, 1995, Detroit, Michigan, USA.
  271. Jang, E. S., M. Venkatraman, and N. M. Nasrabadi,  “Sub-Band Coding of Three-Dimensional MRI Images Using Octrees," in IEEE Int. Conf. on Acoustics, Speech, and Signal Processing,  9-12, May, 1995, Detroit, Michigan, USA.
  272.  Choo, C. Y., E. Kristenson, and N. M. Nasrabadi,  "A Hashing-Based Scheme for Organizing Vector Quantization Codebook," in IEEE Int. Conf. on Acoustics, Speech, and Signal Processing, 9-12, May, 1995, Detroit, Michigan, USA.
  273. 185.                    Yang, S., N. M. Nasrabadi, and M. Soumekh,  "SAR Moving Target Detection and Identification Using Recurrent Multilayered Neural Networks," in IEEE Int. Conf. on Acoustics, Speech, and Signal Processing, 9-12, May, 1995, Detroit, Michigan, USA.
  274. Rizvi, R. A., L. C. Wang, Q. F. Liao, and N. M. Nasrabadi,  Neural  Networks Architectures for Vector Quantization, IS&SPIE Symposium on Electronic Imaging: Science&Technology, 5-10 Feb., 1995, San Jose, San Jose, California, USA.
  275. Rizvi, R. A., and N. M. Nasrabadi,  "Finite State Residual Vector Quantization with Neural Network State Prediction," in IS&SPIE Symposium on Electronic Imaging: Science&Technology, 5-10 Feb.,  1995, San Jose, San Jose, California, USA.
  276. Venkatraman, M., and N. M. Nasrabadi,  "Constrained Gradient Descent Algorithm for residual Vector Quantizer Design," in Proc. of First IEEE Int. Conf. on Image Processing, ICIP'94, 13-16 Nov., 1994, Austin, Texas.
  277. Rizv, S. A., and N. M. Nasrabadi,  "Predictive Residual Vector  Quantization," in Proc. of First IEEE Int. Conf. on Image Processing, ICIP'94, 13-16 Nov., 1994, Austin, Texas.
  278. Rizvi, S. A., and N. M. Nasrabadi, "Predictive Residual Vector Quantization," in Proc. of The 12th International Conf. on Pattern Recognition, 9-13, October, 1994, Jerusalem, Israel.
  279. Rizvi, S. A., and N. M. Nasrabadi, "Multi-Stage Vector Quantizer Design Using Competitive Neural Networks,"  Proceedings of Visual Communications and Image Processing'94: Visual Communication, 25-28 Sept., 1994, Chicago, IL.
  280. Yang, S. S., P. D. Scott, and N. M. Nasrabadi,  Object Recognition Using Multi-layer Hopfield Neural Network, in Proc. of IEEE Int. Conf. on Computer Vision and Pattern Recognition, CVPR-94, 20-22 of June, 1994, Seattle, Washington.
  281. Seni, G. and  N. M. Nasrabadi,  An On-line Cursive Word Recognition System, in Proc. of IEEE Int. Conf. on Computer Vision and Pattern Recognition, CVPR-94, 20-22 of June, 1994, Seattle, Washington.
  282. Nasrabadi, N. M. and S. A. Rizvi,  Reordering procedures for FSVQ, in Proc. of IEEE Int. Conf. on Acoustics, Speech, and Signal Processing, April 19-22, 1994, Adelaide, South Australia, Australia.
  283. Choo, C. Y., Cicchetto, B. A. and Nasrabadi, N. M.,  Performance Analysis of a Vector Quantizer with Cache Memory, Proc. of 27th Asilimar Conf. on Signals, Systems, and Computers,  Nov. 1-3, 1993, Pacific Grove, California.
  284. Nasrabadi, N. M., N. Mohsenian and S. Rizvi, Reordering procedures for FSVQ, Proceedings of Visual Communications and Image Processing'93: Visual Communication, 7-12 Nov., 1993, Boston , MA.
  285. Mohsenian, N. and N. M. Nasrabadi,  Predictive Vector Quantization Using A Neural Network, in IEEE Int. Conf. on Acoustics, Speech, and Signal Processing, 27-30 April, 1993, Minneapolis, Minnesota, USA, pp. 245-248.
  286. Choo, C. H. and N. M. Nasrabadi,  Address Chain Code: a new line drawing encoding, in Proceedings of SPIE Vol. 1818, Visual Communications and Image Processing'92: Visual Communication, 15-20 Nov., 1992, Boston, MA.
  287. Mohsenian, N. and N. M. Nasrabadi,  A Neural Net Approach to Predictive Vector Quantization, in Proc. Of SPIE Vol. 1818, Visual Communications and Image Processing'92: Visual Communication, 15-20 Nov., 1992, Boston, MA, pp.476-487.
  288. Guo, Q., N. M Nasrabadi and N. Mohsenian,  An Interframe Dynamic FSVQ Codec for Video Sequence Coding, in Proc. of IEEE Int. Conf. on Acoustics, Speech, and Signal Processing, 23-26 March, 1992, San Francisco, California, USA, Vol. III, pp. 501-504.
  289. 2 Nasrabadi, N. M. and N. Mohsenian, An Edge-Based Subband Image Coding Technique for Encoding the Upper Frequency Bands, in Proc. of IEEE Int. Conf. on Acoustics, Speech, and Signal Processing, 23-26 March, 1992, San Francisco, California, USA, Vol. III, pp. 233-236.
  290. Mohsenian, N. and N. M. Nasrabadi,  An Edge-Based Subband Image Coding Technique for Encoding the Upper Frequency Bands, in Proc. Of SPIE Vol. 1605, Visual Communications and Image Processing'91: Visual Communication, 11-13 Nov., 1991, Boston, MA, pp. 781-792.
  291. Guo, Q. and N. M. Nasrabadi,  An Interframe Dynamic FSVQ Codec for Video Sequence Coding, in Proc. of IEEE Workshop on Visual Signal Processing and Communications, June 6-7, 1991, Taiwan.
  292. Nasrabadi, N. M., S. Dianat and S. Venkataraman,  A Non linear Prediction Using a Three-Layer Neural Networks, in Proc. of IEEE Int. Joint Conf. on Neural Networks, Seattle, Washington, 1991, Vol. I, pp. 689-694.
  293. Choo, C. Y., F. J. Desjarlais and N. M. Nasrabadi,  A Multiprocessor System for Interframe Hierarchical Address-Vector Quantization, in Proc. of 1991 IEEE Int. Symposium on Circuits and Systems, June 11-14, 1991, Singapore.
  294. Nasrabadi, N. M. and P. Polit,  A Robust Transform Vector Quantization Technique for Packet Video on ATM Networks, in Proc. of IEEE Data Compression Conference, Snowbird, Utah, April 8-10, 1991, pp. 149-158.
  295. Smith, J. M., C. Y. Choo,  and N. M. Nasrabadi,  A Terrain Acquisition Algorithm for an Autonomous Mobile Robot with Finite-Range Sensors, in Proc. of SPIE Int. Symposium on Optical Eng. and Photonics in Aerospace Sensing, Orlando, Florida, April 1-5, 1991.
  296. Smith, J. M., C. Y. Choo and N. M. Nasrabadi,  An Efficient Terrain Acquisition Algorithm for a Mobile Robot, in Proc. Of IEEE Int. Conf. on Robotics and Automation, Sacramento, California, April 1991, pp. 306-311.
  297. Dianat, S., N. M. Nasrabadi and S. Venkataraman,  A Non-linear Predictor for DPCM Encoder Using Artificial Neural Networks, in Proc. of IEEE Int. Conf. on Acoustics, Speech, and Signal Processing, 14-17 May 1991, Toronto, Ontario, Canada.
  298. Choo, C. Y., N. M. Nasrabadi and W. I. Kwak,  Relaxation Based Modeling and Recognition of 3D Surfaces from Range Data, IEEE IAPR Workshop on Machine Vision Applications, Nov. 28-30, 1990, Tokyo, Japan, pp. 47-50.
  299. Nasrabadi, N. M., W. Li and C. Y. Choo,  Object Recognition by a Hopfield Neural Network, in Proc. of IEEE Third Int. Conf. Computer Vision (ICCV'90), Osaka, Japan, 4-7 Dec. 1990, pp. 325-328.
  300. Nasrabadi, N. M.  Interframe Hierarchical Address-Vector Quantization, in Proc. of SPIE's Visual Communications and Image Processing'90: Fifth in Series, Lausanne, Switzerland, 1-4 October, 1990, pp. 558-574.
  301. Nasrabadi, N. M., T. Harries and J. Smallcomb,  Hierarchical Block Truncation Coding of Digital HDTV Images, in Proc. of IEEE Int. Conf. on Consumer Electronics, Chicago, IL, 6-8 June, 1990, pp. 194-195.
  302.  Li, W. and N. M. Nasrabadi,  Invariant Object Recognition Based on a Neural Network of Cascaded RCE Nets, in Proc. of IEEE Int. Joint Conf. on Neural Networks, San Diego, CA, 17-21 June, 1990, pp. II-845-854.
  303. Feng, Y. and N. M. Nasrabadi,  A Dynamic Finite State-Vector Quantizer Scheme, in Proc. of IEEE Int. Conf. on Acoustics, Speech, and Signal Processing, Albuquerque, New Mexico, 3-6 April, 1990, pp. 2261-2264.
  304.  Feng, Y. and N. M. Nasrabadi,  Multi-Layer Address Vector Quantization, in Proc. of IEEE Int. Conf. on Communications, Atlanta, Georgia, 16-29 April, 1990, pp. 893-897.
  305. Feng Y.  and N. M. Nasrabadi,  Image coding using a dynamic multi-layer address-vector quantization technique, in Proc. of IEEE Int. Phoenix Conference on Computers and Communications, Phoenix, Arizona, March 21-23, 1990.
  306.  Li, W. and N. M. Nasrabadi,  Object Recognition by a Global  Technique Based on Graph-Matching by the Hopfield Network, in Proc. of SPIE Advances in Intelligent Robotics Systems, Intelligent Robots and Computer Vision VIII: Algorithms and Techniques, Philadelphia, Pennsylvannia, Vol. 1192, 6-10 Nov. 1989, pp. 425-442.
  307. Feng, Y. and N. M. Nasrabadi,  Color Video Coding for Packet Switch Network: Replenishment Adaptive VQ, in Proc. of SPIE Visual Communications and Image Processing III, Philadelphia, Pennsylvannia, 5-10 Nov. 1989, pp. 1576-1583.
  308. Nasrabadi, N. M., W. Li, B. G. Epranian and C. A. Butkus,  Use of Hopfield Network for Stereo Vision Correspondence, in Proc. of IEEE Int. Conf. on Systems, Man, and Cybernetics, Cambridge, MA, 14-17 November 1989, pp. 429-432.
  309. Nasrabadi, N. M., S. E. Lin and Y. Feng,  Vector Quantization of Image Sequence Using a Regular Decomposition Quadtree, in Proc. of IEEE Int. Conf. on Image Processing, ICIP'89, Singapore, 5-8 September 1989, pp. 55-59.
  310. Nasrabadi, N. M. and Y. Liu,  Integration of Intensity-Based and Edge-Based Algorithms Using Markov Random Fields, in Proc. of IEEE Int. Conf. on Image Processing, ICIP'89, Singapore, 5-8 September 1989, pp. 207-211. Li, W. and N. M. Nasrabadi,  Object Recognition Based on Graph Matching Implemented by a Hopfield-Style Neural Network, in Proc. of IEEE Int. Joint Conf. on Neural Networks, IJCNN'89, Washington, D.C., June 18-22, 1989, vol. II, pp. 287-290.
  311. Nasrabadi, N. M., L. Shihkuan and Y. Feng,  An Adaptive  Interframe Coding System Using Hierarchical Vector Quantization, in Proc. Of IEEE 1989 Int. Conference on Acoustics, Speech, and Signal Processing, Glasgow, Scotland, UK, May 23-26, 1989, pp.1739-1742.
  312. Feng, Y. and N. M. Nasrabadi,  A Dynamic Address-Vector Quantization Algorithm Based on Inter-Block and Inter-Color Correlation for Color Image Coding, in Proc. Of IEEE 1989 Int. Conference on Acoustics, Speech, and Signal Processing, Glasgow, Scotland, UK, May 23-26, 1989, pp. 1755-1758.
  313. Li, W. and N. M. Nasrabadi,  Review of Applications of Neural Networks to Computer Vision, in Proc. of SPIE Advances in Intelligent Robotics Systems, Cambridge, MA, Nov. 6-11, 1988.
  314.  Nasrabadi, N. M. and Y. Feng,  Vector Quantization of Images Based Upon A Neural-Network Clustering Algorithm, in Proc. of SPIE Visual Communications and Image Processing III, Cambridge, MA, Nov. 6-11, 1988, pp. 207-213.
  315. Feng, Y. and N. M. Nasrabadi,  Address-Vector Quantization: An Adaptive Vector Quantization Scheme Using Interblock Correlation, in Proc. of SPIE Visual Communications and Image Processing III, Cambridge, MA, Nov. 6-11, 1988, pp. 214-222.
  316. Nasrabadi, N. M. and Y. Liu,  A stereo vision technique using relaxation matching," in Proc. of IEEE 9th Int. Conference on Pattern Recognition, Rome Italy, 14-17 Nov. 1988, pp. 149-151.
  317. Feng, Y. and N. M. Nasrabadi,  A new Vector Quantization Scheme Using Inter-Block Correlation: Address Vector Quantizer, in Proc. of IEEE Global Telecommunications Conference, Hollywood, FL, Nov. 28-Dec. 1, 1988, pp. 755-759.
  318.  Nasrabadi, N. M. and Y. Feng,  Vector Quantization of images based upon the Kohonen Self-Organization Feature Maps, in Proc. of IEEE Int. Conf on Neural Networks, San Diego, CA, July 24-27, 1988, vol. I, pp. 101-108.
  319. Clifford, S. P. and N. M. Nasrabadi,  Integration of Stereo Vision and Optical Flow using Markov Random Fields, in Proc. of IEEE Int. Conf. on Neural Networks, San Diego, CA, July 24-27, 1988, vol. I, pp. 577-584.
  320. Nasrabadi, N. M., Y. Liu and J. Chang,  Stereo Vision Correspondence using a Multi-Channel Graph Matching Technique, in Proc. of IEEE Int. Conf. on Robotics and Automation, Philadelphia, PA, April 25-29, 1988, pp. 1804-1809.
  321. Nasrabadi, N. M. and Y. Liu,  Application of Multi-channel Hough Transform to Stereo Vision, in Proc. of SPIE The Advances in Intelligent Robotics Systems and Computer Vision, Vol. 848, Cambridge, MA, November 1-6, 1987, pp. 434-444.
  322. Nasrabadi, N. M.,  Use of Vector Quantization in Image Coding, in Proc. of IEEE Int. Conference on Acoustics, Speech and Signal Processing, Tampa, Florida, March 26-29, 1985, pp. 4.4.1-4.4.4.
  323.  Ibikunle, J. O., T. Y. Shin, N. M. Nasrabadi and R. A. King,  Numerical Recognition Using the Radon Transform and Relaxation Matching, in Proc. of Fourth Int. Conf. on Digital Processing of Signals in Communications, Loughborough, United Kingdom, April 1985.
  324. Nasrabadi, N. M., J. O. Ibikunle and R. A. King,  A New Line Detection Technique in Noisy Images, Satellite Remote Sensing, in Proc. of the Tenth Anniversary International Conference,  Satellite Remote Sensing, Reading, United Kingdom, 18-21 September 1984.
  325. Nasrabadi, N. M. and R. A. King,  A Theoretical Review of Texture Analysis for SAR Images, Satellite Remote Sensing, in Proc. of the Tenth Anniversary International Conference, Satellite Remote Sensing, Reading, United Kingdom, 18-21 September 1984.
  326. Henein, K. M., N. M. Nasrabadi, N. R. Gorgui-Naguib and R. A. King,  Efficient Technique for Implementing Fermat Number Transforms on Microprocessors, in Proc. of IEEE Int. Symposium on Circuits and Systems, Montreal, Canada, May 7-10, 1984.
  327. Nasrabadi, N. M., J. O. Ibikunle and R. A. King,  Design of Codec for Video Conferencing, in Proc. of Int. Conf. On Digital Signal Processing, Florence, Italy, September 5-8, 1984.
  328. Ibikunle, J. O., N. M. Nasrabadi and R. A. King,  Design of Codec for Video Conferencing, in Proc. of the First Gretsi-Cesta Image Symposium Coding, Biarritz, France, May 1984.
  329.  Nasrabadi, N. M. and R. A. King,  A New Image Coding Technique using Transform Vector Quantization, in Proc. of IEEE Int. Conf. on Acoustics, Speech, and Signal Processing, San Diego, California, USA, March 19-21, 1984.
  330.  Nasrabadi, N. M. and R. A. King,  Complex Number Theoretic Transform in P-adic Field, in Proc. of IEEE Int. Conf. on Acoustics, Speech, and Signal Processing, San Diego, California, USA, March 19-21, 1984, pp. 28A.4.1-28A.4.3.
  331. Nasrabadi, N. M. and R. A. King,  Computationally Efficient Adaptive Block-Transform Coding, in Proc. of EUSIPCO-83, the 2nd  European Conference on Signal Processing, Erlangen, W. Germany, September 12-13 1983, pp. 729-733.
  332. Nasrabadi, N. M. and R. A. King,  Transform Coding using Vector Quantization, in Proc. of Conf. on Information Science and System, The Johns Hopkins University, Baltimore, Maryland, March 23-25, 1983.