Niloufar Alipour Talemi, Hossein Kashiani, Nasser M Nasrabadi, "CATFace: Cross-Attribute-Guided Transformer with Self-Attention Distillation for Low-Quality Face Recognition," IEEE Transactions on Biometrics, Behavior, and Identity Science, 2024.
Shoaib M. Sami, Md Mahedi Hasan, Nasser M. Nasrabadi and Rahguveer Rao, "Contrastive Learning and Cycle Consistency-Based Transductive Transfer Learning for Target Annotation," in IEEE Transactions on Aerospace and Electronic Systems, 2024. DOI: 10.1109/TAES.2023.3337768.2.
Ali Zafari, Atefeh Khoshkhahtinat, Jeremy A. Grajeda, Piyush M. Mehta, Nasser M. Nasrabadi, Laura E. Boucheron, Barbara J. Thompson, Michael S. F. Kirk, Daniel da Silva, "Neural-based Compression Scheme for Solar Image Data," in IEEE Transactions on Aerospace and Electronic Systems, 2024. DOI: 10.1109/TAES.2023.3332056.3.
Domenick Poster, Shuowen Hu, Nasser M. Nasrabadi," Long-Range Thermal Target Detection in Data-Limited Settings Using Restricted Receptive Fields,” Sensors, Vol. 23, Issue 18, Sept. 11, 2023. MDPI, https://doi.org/10.3390/s23187806 4.
Amol S Joshi, Ali Dabouei, Jeremy Dawson, Nasser M Nasrabadi,"Fingerphoto Deblurring Using Attention-guided Multi-stage GAN," in IEEE Access, 10.1109/ACCESS.2023.3301467.5.
Md Mahedi Hasan, Nasser M. Nasrabadi, Jeremy Dawson, "On Improving Interoperability for Cross-Domain Multi-Finger Fingerprint Matching Using Coupled Adversarial Learning," in IET Biometrics, August 2023. (manuscript #: BMT-2023-03-0024.R1.
PooryaAghdaie, Sobhan Soleymani, Nasser M. Nasrabadi and Jeremy Dawson, "Attention Augmented Face Morph Detection," in IEEE Access, vol. 11, pp. 24281-24298, 2023, doi: 10.1109/ACCESS.2023.3254539.
Sahar R. Malakshan,
Mohammad S. E. Saadabadi, Moktari Mostofa, Sobhan Soleymani and Nasser M. Nasrabadi,
"Joint Super-Resolution and Head Pose Estimation for Extreme
Low-Resolution Faces," in IEEE Access, vol. 11, pp.
11238-11253, 2023, doi: 10.1109/ACCESS.2023.3241606.
Uche Osahor,
Nasser M Nasrabadi, “Text-Guided Sketch-to-Photo Image Synthesis”,
in IEEE Access, vol. 10, pp. 98278-98289, 2022, doi: 10.1109/ACCESS.2022.3206771, Oct., 15, 2022.
Shoaib Meraj Sami, John McCauley,
Sobhan Soleymani, Nasser Nasrabadi, Jeremy Dawson, "Benchmarking
Human Face Similarity Using Identical Twins," IET
Biometrics, Augest 5, 2022. http://doi.org/10.1049/bme2.12090.
Fariborz Taherkhani,
Veeru Talreja, Jeremy Dawson, Matthew C. Valenti, Nasser M. Nasrabadi, "Profile to Frontal Face Recognition in the Wild Using
Coupled Conditional Generative Adversarial Network," IET Biometrics, pp.1-17, August
10, 2022. http://doi.org/10.1049/bme2.12069.
Sobhan Soleymani, Ali Dabouei, Fariborz Taherkhani, Seyed Mehdi
Iranmanesh, Jeremy Dawson and Nasser M. Nasrabadi, “Quality-Aware Multimodal
Biometric Recognition,” IEEE
Transactions on Biometrics, Behavior, and Identity Science, vol. 4, no. 1, pp. 97-116, Jan. 2022.
Paria Jeihouni, Omid Dehzangi, Annahita Amireskandari, Ali Rezai, Nasser M. Nasrabadi, "MultiSDGAN: Translation of OCT Images to Superresolved Segmentation Labels Using Multi-Discriminator in Multi-Stages," IEEE Journal of Biometrics and Health Informatics, Vol. 26, No. 4, April 2022.
Sertac Arisoy, Nasser M. Nasrabadi, and Koray Kayabol “Unsupervised Pixel-wise Hyperspectral Anomaly Detection via Autoencoding Adversarial Networks,” IEEE Geoscience and Remote Sensing Letters, vol. 19, no. 0, pp 1-5, January 20, 2022.
Moktari Mostofa, Salman Mohamadi,
Jeremy Dawson, Nasser M. Nasrabadi, “Deep GAN-Based Cross-Spectral
Cross-Resolution Iris Recognition,” IEEE Transactions on Biometrics,
Behavior, and Identity Science, August 01, 2021.
Domenick D. Poster, Shuowen Hu, Nathan J. Short, Benjamin S. Riggan, and Nasser
M. Nasrabadi, “Visible-to-Thermal Transfer Learning for Facial Landmark Detection,”
IEEE Access
, vol. 8, issue 1, pp. 82306-82319, Dec. 2021.
Seyed Mehdi Iranmanesh, Nasser M. Nasrabadi, “HGAN: Hybrid Generative Adversarial
Network,”
Journal of Intelligent & Fuzzy Systems, Vol. 41-1, Feb. 2021.
Veeru Talreja, Matthew Valenti, and Nasser Nasrabadi, “Deep Hashing for Secure
Multimodal Biometrics,”
IEEE Transactions on Information Forensics and Security,” vol. 16, pp. 1306-1321,
2021.
10.1109/TIFS.2020.3033189
Moktari Mostofa, Syeda Nyma Ferdous, Benjamin S. Riggan, and Nasser M. Nasrabadi,
“Joint-SRVDNet: Joint Super Resolution and Vehicle Detection Network,”
IEEE Access
, vol. 8, issue 1, pp. 82306-82319, Dec. 2020.
Fariborz Taherkhani, Veeru Talreja, Matthew Valenti, and Nasser M. Nasrabadi, “Error
Corrected Margin-Based Deep Cross-Modal Hashing for Facial Image Retrieval,”
IEEE Transactions o on Biometrics, Behavior, and Identity Science, vol. 2,
no. 3, July 2020.
Xiaoxia Sun, Nasser M. Nasrabadi and Trac D. Tran, "Supervised Deep Sparse Coding
Networks for Image Classification,"
IEEE Trans. on Image Processing, vol. 29, no. 7, pp. 405-418, July 17, 2019.
DOI:
10.1109/TIP.2019.2928121
Zhangming Ding, Nasser M. Nasrabadi, Yun Fu, “Semi-supervised Task-driven Deep
Transfer Learning via Coupled Neural Networks,”
IEEE Transaction on Image Processing
, vol. 27, issue 11, pp. 5214-5224, June 2018.
Amirsina Torfi, SM Iranmanesh, Nasser M. Nasrabadi, Jeremy Dawson, “3D Convolutional
Neural Networks for Cross Audio-Visual Matching Recognition,”
IEEE Access, vol. 5, pp. 22081-22091, 2017.
Tianpei Xie, Nasser M. Nasrabadi, Alfred O. Hero III, “Learning to Classify with
Possible Sensor Failures,”
IEEE Transactions on Signal Processing, vol. 65, no.4, pp. 836-849, 2017.
Minh Dao, Nam Nguyen, Nasser M. Nasrabadi, Trac D. Tran, “Multi-Sensor Classification
via Joint Sparse Representation for discriminating between human and animal footsteps,”
IEEE Transactions on Signal Processing, Vol. 64, No. 9, pp. 2400-2415, May
2016.
Soheil Bahrampour, Nasser M. Nasrabadi, Asok Ray, Kenneth W. Jenkins, “Multimodal
Task-Driven Dictionary Learning,”
IEEE Transactions on Image Processing, Vol. 25, No. 1, pp. 24-38 Jan. 2016.
Benjamin S. Riggan, Christophor Reale, Nasser M. Nasrabadi, “Coupled Auto-Associative
Neural Networks for Heterogeneous Face Recognition,”
IEEE Access, vol. 3, pp. 1620-1632, Oct. 2015.
Qing Qu, Nasser M. Nasrabadi, Trac D. Tran, “Subspace Vertex Pursuit: A Fast and
Robust Near-Separable Nonnegative Matrix Factorization Method for Hyperspectral
Unmixing Method for Hyperspectral Unmixing,”
IEEE Journal of Selected Topics in Signal Processing, Vol. 9, No. 6, pp.
1142-1155, Sept., 2015.
Xiaoxia Sun, Qing Qu, Nasser M. Nasrabadi, Trac D. Tran, “Task-driven Dictionary
Learning for Hyperspectral Image Classification with Structured Sparsity Priors,”
IEEE Transactions on Geoscience and Remote Sensing, Vol. 53, No. 8, pp.
4457-4471, Aug., 2015.
Zhangyang Wang, Nasser M. Nasrabadi, Thomas S. Huang, “Semi-supervised Hyperspectral
Classification Using Task-driven Dictionary Learning with Laplacian Regularization,”
IEEE Transactions on Geoscience and Remote Sensing, Vol.53, No.3, pp. 1161-1173,
March 2015.
Umamahesh Srinivas, Nasser M. Nasrabadi, Vishal Monga, “Graph-based Sensor Fusion
for Classification of Transient Acoustic Signals,”
IEEE Transactions on Cybernetics, Vol.45, No.3, pp. 576-586, March 2015.
Zhaowen Wang, Nasser M. Nasrabadi, Thomas Huang, “Spatial-spectral Classification
of Hyperspectral Images using Discriminative Dictionary Designed by Learning
Vector Quantization,”
IEEE Transactions on Geoscience and Remote Sensing, Vol. 52, No. 8, pp.
4808-4822, August 2014.
Xiaoxia Sun, Qing Qu, Nasser M. Nasrabadi, Trac D. Tran, “Structured Priors for Sparse
Representation Based Hyperspectral Image Classification,”
IEEE Geoscience and Remote Sensing Letter, vol.11, no. 7, pp. 1235-1235,
July. 2014.
Qing Qu, Nasser M. Nasrabadi, Trac D. Tran, “Abundance Estimation for Bilinear mixture
models via joint sparse and low rank representations,”
IEEE Transactions on Geoscience and Remote Sensing, Vol. 52, No. 7, pp.4404-4422,
July 2014.
Nasser M. Nasrabadi, “Hyperspectral Target Detection: An Overview of Current and
Future Challenges,”
IEEE Signal Processing Magazine, vol.31, no.1, pp. 34-44, Jan. 2014.
Vishal M. Patel, Glenn R. Easley, Nasser M. Nasrabadi, and Rama Chellappa, “Separated
Component-Based Restoration of Speckled SAR Images,”
IEEE Transactions On Geoscience and Remote Sensing, Vol. 52, No. 2, pp.
1019-1029, Feb. 2014.
Sumit Shekhar, Vishal M. Patel, Nasser M. Nasrabadi and Rama Chellappa, "Joint sparse
representation for robust multimodal biometrics recognition,"
IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 36,
No. 1, pp. 1019-1029, Feb. 2014.
Soheil Bahrampour, Asok Ray, Soumalya Sarkar, Thyagaraju Damarla, Nasser M. Nasrabadi,
“Performance Comparison of Feature Extraction Algorithms for Target Detection
and Classification,”
Pattern Recognition Letters, vol.34, pp.2126-2134, 2013.
José M. Bioucas-Dias, Antonio Plaza, Gustavo Camps-Valls, Paul Scheunders, Nasser
Nasrabadi, and Jocelyn Chanussot, “Hyperspectral Remote Sensing Data Analysis
and Future Challenges,”
IEEE Geoscience and Remote Sensing Magazine, Vol. 1, no. 2, pp. 6-36, 26
June 2013.
Umamahesh Srinivas, Yi Chen, Vishal Monga, Nasser M. Nasrabadi, Trac D. Tran, “Exploiting
Sparsity in Hyperspectral Image Classification via Graphical Models,"
IEEE Geoscience and Remote Sensing Letters, vol.10, No.3, pp. 505-509, May
2013.
Yi Chen, Nasser M. Nasrabadi, Trac D. Tran, “Hyperspectral image classification Via
Kernel Sparse,”
IEEE Transactions on Geoscience and Remote Sensing, Vol.51 No.1, pp.431-440,
Jan. 2013.
Haichao Zhang, Nasser M. Nasrabadi, Yanning Zhang, Thomas S. Huang “Multi-Metric
Learning for Multi-Sensor Fusion Based Classification,”
Information Fusion, Vol.14 No.4, pp.431-440, Oct. 2013.
Haichao Zhang, Nasser M. Nasrabadi, Yanning Zhang, Thomas S. Huang, “Joint Dynamic
Sparse Representation for Multi-view Face Recognition,”
Pattern Recognition, Vol.45 No.4, pp. 1290-1298, April 2012.
Haichao Zhang, Nasser M. Nasrabadi, Yanning Zhang, Thomas S. Huang, “Multi-View Automatic
Target Recognition Using Joint Sparse Representation,”
IEEE Transactions on Aerospace and Electronic Systems, Vol. 48, No. 3, pp.
2481-2497, July 2012.
Haichao Zhang, Nasser M. Nasrabadi, Thomas S. Huang, Yanning Zhang, “Joint Structured
Sparsity Acoustic Signal Classification,”
IEEE Transactions on Systems, Man and Cybernetics, Part B, Vol. 42, No.
6, pp.1586-1598, Dec. 2012.
Yi Chen, Nasser M. Nasrabadi, and Trac D. Tran, "Effects of linear projections on
the performance of target detection and classification in hyperspectral imagery"
J. Appl. Remote Sens. 5, 053563 (2011), DOI:10.1117/1.3659894
Yi Chen, Nasser M. Nasrabadi, Trac D. Tran, “Hyperspectral image classification using
dictionary-based sparse representation,"
IEEE Transactions on Geoscience and Remote Sensing
, Vol.49. No.10, pp. 3973-3985, October, 2011.
Yi Chen, Nasser M. Nasrabadi, Trac D. Tran, “Sparse Representation for Target Detection
in Hyperspectral Images,”
IEEE Journal of Selected Topics in Signal Processing, Vol. 5, No. 3, pp
629-640, June, 2011.
Yi Chen, Nasser M. Nasrabadi, Trac D. Tran, “Simultaneous Joint Sparse Model for
Target Detection in Hyperspectral Images,"
IEEE Geoscience and Remote Sensing Letters
, Vol.8, No.4, pp. 676-680, July 2011.
Vishal M. Patel, Nasser M. Nasrabadi, Rama Chellappa, “Sparsity Motivated Automatic
Target Recognition,”
Applied Optics, Vol. 50, No.11, pp. 1425-1433, April 2011.
Nasser M. Nasrabadi, Asif Mehmood, “Kernel Wavelet-RX: An Anomaly Detection for FLIR
Imagery,”
Applied Optics, Vol.50, No.17, pp. 2744-2751, June 2011.
Nasser M. Nasrabadi, Asif Mehmood, “Wavelet-RX Anomaly Detection for Dual-band FLIR
Imagery,”
Applied Optics, Vol. 49, Issue 24, pp. 4621-4632, 2010.
Michael T. Eismann, Alan D. Stocker, and Nasser M. Nasrabadi, “Automated Hyperspectral
Cueing for Civilian Search and Rescue,”
The Proceedings of the IEEE, Vol. 97, No. 6, pp. 1030-1055, June 2009.
Lance Kaplan and Nasser M. Nasrabadi, “Block Wiener-based Image Registration for
Moving Target Indication,” in
Journal of Image and Vision Computing, March 27, pp. 694-703, 2009.
Nasser M. Nasrabadi, “Regularized Spectral Matched Filter for Target Detection in
Hyperspectral Imagery,”
IEEE Signal Processing Letters, Vol.15, pp.317-320, 2008.
Heesung Kwon, Nasser M. Nasrabadi and Patti Gillespie, "Nonlinear Chemical Plume
Detection Using Kernel-based Matched Subspace Detectors,"
Int. J. of High Speed and Systems, Vol. 17, No. 4, pp. 813-826, Dec. 2007.
Hirsh Goldberg, Heesung Kwon and Nasser M. Nasrabadi, “Kernel Eigenspace Separation
Transform,”
IEEE Transactions on Geoscience and Remote Sensing Letters, Vol. 4. No.
4, pp. 581-585, Oct., 2007.
Heesung Kwon, and Nasser M. Nasrabadi, "A Comparative Analysis of Kernel Subspace
Target Detectors for Hyperspectral Imagery,"
EURASIP Journal of Applied Signal Processing, in special issue on Advances
in Subspace-Based Techniques for Signal Processing and Communications 2007, Article
ID 29250, 13 pages, doi:10.1155/2007/29250.
Nasser M. Nasrabadi, Maria Tates, and Heesung Kwon, “Change Detection Methods for
Identification of Mines in SAR Imagery,”
Journal of Applied Remote Sensing, Vol.1, 013525, Aug. 07 2007.
Maria Tates, Nasser M. Nasrabadi, Heesung Kwon, “Mine Detection in Averaged Multilook
SAR Imagery Using Change Detection Methods,”
WSEAS Transactions on Signal Processing, Issue 5, Vol. 2, pp. 710-718, May
2006
Heesung Kwon, and Nasser M. Nasrabadi, "Kernel Spectral Matched Filter for Hyperspectral
Imagery,"
Journal of Computer Vision, Vol. 71, No. 2, pp. 123-253, Feb. 2007.
Heesung Kwon, and Nasser M. Nasrabadi, "Kernel Adaptive Subspace Detector for Hyperspectral
Imagery,"
IEEE Transactions on Geoscience and Remote Sensing Letters, Vol. 3, No.
2, pp.271-275, April 2006.
Heesung Kwon, and Nasser M. Nasrabadi, "Kernel Matched Subspace Detectors for Hyperspectral
Target Detection,"
IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 28,
no. 2, pp. 178-194, Feb. 2006.
Heesung Kwon, and Nasser M. Nasrabadi, "Kernel Orthogonal Subspace Projection for
Hyperspectral Target Classification,"
IEEE Geoscience and Remote Sensing, Vol. 43, No. 12, pp. 2952-2962, Dec.
2005.
Heesung Kwon, and Nasser M. Nasrabadi, "Kernel RX-Algorithm: A Nonlinear Anomaly
Detector for Hyperspectral Imagery,"
IEEE Transactions on Geoscience and Remote Sensing
, vol. 43, no. 2, pp. 388-397, Feb., 2005.
Lipchen A. Chan, Sandor Z. Der, and Nasser M. Nasrabadi, "A Joint Compression-Discrimination
Neural Transformation applied to Target Detection,"
IEEE Transactions on Man and Cybernetics, Vol. 35, No.4, pp. 670681, August,
2005.
Sayed A. Rizvi, and N. M. Nasrabadi, "Fusion of FLIR Automatic Target Recognition
Algorithms,"
Journal of Information Fusion, Vol. 4, pp. 35-45, Sept. 2004.
Susan Young, Sandor Z. Der, and Nasser M. Nasrabadi, "Adaptive Target Detection in
Forward-Looking Infrared Imagery Using the Eigenspace Separation Transform and
Principal Component Analysis,"
Optical Engineering, Vol. 43, No. 8, pp. 1767-1776, August 2004.
Sandor Der, Lipchen A. Chan, Nasser Nasrabadi, and Heesung Kwon, "Automated Vehicle
Detection in Forward-Looking Infrared Imagery,"
Applied Optics, Vol. 43, No. 2, pp. 333-348, Jan. 2004.
Heesung Kwon, Sandor Z. Der, and Nasser M. Nasrabadi, "Adaptive Anomaly Detection
Using Subspace Separation for Hyperspectral Imagery,"
Optical Engineering, Vol. 42, No. 11, pp. 3342-3351, Nov., 2003.
Lipchen A. Chan, Sandor Z. Der, and Nasser M. Nasrabadi, "Multi-Stage Infrared Target
Detection,"
Journal of Optical Engineering, Vol. 49, No. 9, pp. 2746-2754, Sept., 2003.
Lipchen A. Chan, Sandor Z. Der, and Nasser M. Nasrabadi, "Dual-band FLIR FUSION for
Automatic Target Recognition,"
Journal of Information Fusion, No. 4, pp. 35-45, April 2003.
Syed A. Rizvi, and N. M. Nasrabadi, "A Modular Clutter Rejection Technique for FLIR
imagery Using Region-Based Principal Component Analysis,"
Pattern Recognition, Vol. 35, pp. 2895-2904, 2002.
Heesung Kwon, Sandor Z. Der, and Nasser M. Nasrabadi, "Adaptive Multisensor Target
Detection Using Feature-based Fusion,"
Optical Engineering, Vol.41, No.1, pp. 69-80, Jan. 2002.
Li, B., R. Chellappa, Q. Zheng, S. Der, N. M. Nasrabadi, and L. Wang, "Experimental
Evaluation of FLIR ATR Approaches-A Comparative Study,"
Computer Vision and Image Understanding
, Vol. 84, pp. 5-24, 2001.
Lipchen A. Chan, N. M. Nasrabadi, Don Torrieri, "Eigenspace Transformation for
Automatic Clutter Rejection,"
Optical Engineering, Vol. 40, No. 4, pp. 564-573, April 2001.
Syed A. Rizvi, and N. M. Nasrabadi, "Neural Network algorithms for Automatic Target
Recognition Using FLIR imagery: A Survey," in the special issue on Image Processing,
Vision and Pattern Recognition in the
Proceedings of INSA, PINSA, Vol. 67, A, No.2, pp. 243-276, March 2001.
Syed A. Rizvi, Tarek N. Saadawi, N. M. Nasrabadi, "A Clutter Rejection Technique
for FLIR Imagery Using Region Based Principal Component Analysis,"
Pattern Recognition, Vol. 33, pp. 1931-1933, 2000.
Venkatraman, M., H. Kwon, and N. M. Nasrabadi, "Object Based SAR Image Compression
Using Vector Quantization," in the
IEEE Transactions on Aerospace and Electronic Systems, Vol. 36, No.
4, Oct. 2000.
Lipchen A. Chan, and N. M. Nasrabadi, "Automatic Target Recognition Using Vector
Quantization and Neural Networks,"
Optical Engineering, Vol. 38, No 12, pp. 2147-2161, Dec. 1999.
Syed A. Rizvi, L.-C. Wang, N. M. Nasrabadi, "Rate-Constrained Modular Predictive
Residual Vector Quantization of Digital Images,"
IEEE Signal Processing Letters, Vol. 6, No. 6, June 1999.
H. Kwon, M. Venkatraman, and N. M. Nasrabadi, "Multiscale Video Compression Using
Adaptive Finite-State Vector Quantization,"
Journal of Electronics Imaging, Vol. 7, No. 4, pp. 725-738, Oct. 1998.
L-C Wang, S. A. Rizvi, and N. M. Nasrabadi, "A Modular Neural Network Vector Predictor
Image Coding,"
IEEE Transactions on Image Processing, Vol. 7, No. 8, pp. 1198-1217, August
1998.
Wang, L-C., S. Der, N. M. Nasrabadi, "Modular Neural Network Recognition of Targets
in FLIR Imagery,"
IEEE Transactions on Image Processing, Vol.7, No. 8, pp. 1113, 1121, August
1998.
Wang, L-C., S. Der, N. M. Nasrabadi, "Composite Classifiers for Automatic Target
Recognition,"
Optical Engineering, Vol. 37, No. 3, March 1998.
Kown, H.-S., M. Venkatraman, N. M. Nasrabadi, "Very Low Bit Rate Video Codec Using
Variable Block size Entropy-Constrained Residual Vector Quantizers,"
IEEE Transactions on Selected Areas in Communications, Vol. 15, No. 9, pp.
1714-1725, December 1997.
Chan L. A. and N. M. Nasrabadi, "An Application of Wavelet-based Vector Quantization
in Target Recognition,"
International Journal on Artificial Intelligence Tools, Vol. 6, No. 2, pp.
165-178, Dec. 1997.
Kim J. S., Park S. H., P. W. Dowd, and N. M. Nasrabadi, "Cellular radio channel assignment
using a modified Hopfield networks,"
IEEE Trans. Veh. Technol., Vol. 46, No. 4, pp. 957-967, Nov. 1997.
Rizvi, S. A., L-C Wang, and N. M. Nasrabadi, "Nonlinear Vector Prediction Using Feed-Forward
Neural Networks,"
IEEE Transactions on Image Processing, Vol. 6, No. 10, pp. 1431-1436, Oct.
1997.
Rizvi, S. A., N. M. Nasrabadi, "Finite State Residual Vector Quantization Using a
Tree-Structured Competitive Neural Network,"
IEEE Transactions on Circuits and Systems for Video Technology, Vol. 7,
No. 2, pp. 377-390, April 1997.
Yang, S. S., P. D. Scott, and N. M. Nasrabadi, "Object Recognition Using Multi-Layer
Hopfield Neural Network,"
IEEE Transactions on Image Processing, Vol. 6, No. 1, pp. 357-372, March
1997.
Kim, J. S., Park S. H., P. W. Dowd, and N. M. Nasrabadi, "Channel assignment in cellular
radio using Genetic Algorithms,"
Wireless Personal Communications, Vol.3, No. 3, pp. 273-286, August 1996.
Rizvi, S. A., L-C Wang, and Nasser M. Nasrabadi, "Neural Network Architectures for
Vector Prediction,"
The Proceedings of the IEEE (special issue on Applications of Artificial
Neural Networks), Vol. 84, No. 10, pp. 1513-1528, Oct. 1996.
Seni, G., N. M. Nasrabadi, and R. Srihari, "Large Vocabulary Recognition of On-Line
Handwritten Cursive Words,"
IEEE Transactions on Pattern Recognition and Machine Intelligence, Vol.
18, No. 6, pp. 757-762, July 1996.
Barnes, C. F., S. A. Rizvi, and N. M. Nasrabadi, "Recent Advances in Residual Vector
Quantization: A Survey,"
IEEE Transactions on Image Processing, Vol. 6, No. 2, pp. 226-262, Feb.
1996.
Mohsenian, N., H. Shahri, N. M. Nasrabadi, "Scalar-Vector Quantization of Medical
Images,"
IEEE Transactions on Image Processing, Vol. 6, No. 2, pp. 387-392, Feb.
1996.
Rizvi, S. A., N. M. Nasrabadi, and L-C Wang, "Entropy-Constrained Predictive Residual
Vector Quantization,"
Optical Engineering, Vol. 35, No. 1, pp. 187-197, Jan. 1996.
Nasrabadi, N. M. and S. Rizvi, "Next-State Functions for FSVQ,"
IEEE Transactions on Image Processing
, Vol. 4, No 12, pp. 1592-1601, Dec. 1995.
Rizvi, S. A. and N. M. Nasrabadi, "Predictive Residual Vector Quantization,"
IEEE Transactions on Image Processing, Vol. 4, No. 11, pp. 1482-1495,
Nov. 1995.
Rizvi, S. A. and N. M. Nasrabadi, "An Efficient Euclidean Distance Computation for
Vector Quantization Using a Truncated Look-Up Table,"
IEEE Transactions on Circuits and Systems for Video Technology, Vol. 5,
No. 4, pp. 370-371, August 1995.
E. S. Jang, and N. M. Nasrabadi, "Sub-band Coding with Multi-stage VQ for Wireless
Image Communications,"
IEEE Transactions on Circuits and Systems for Video Technology, Vol. 5,
No. 3, pp. 247-253, June 1995.
Grant BJB, Wang L-C, Nasrabadi NM, Weg JG and Stein PD., “Noninvasive diagnosis of
acute pulmonary embolism by recursive partitioning,”
Am. J. Resp. Crit. Care Med.
, 151:A632, 1995.
Rizvi, S. A. and N. M. Nasrabadi, "Variable-Rate Predictive Residual Vector Quantizer,"
IEEE Transactions on Signal Processing Letters, Vol. 2, No. 4, pp. 70-72,
April 1995.
Rizvi, S. A. and N. M. Nasrabadi, "Residual Vector Quantization Using a Multilayer
Competitive Neural Networks,"
IEEE Transactions on Selected Area of Communications, Vol., 12, No. 9, pp.
1452-1459, Dec. 1994.
Nasrabadi, N. M., C. Y. Choo and Y. Feng, "Dynamic Finite State Vector Quantization,"
IEEE Transactions on Communications, pp. 2145-2154, May 1994.
Mohsenian, N. and N. M. Nasrabadi, "Edge-Based Subband VQ Techniques for Images and
Video,"
IEEE Transactions on Circuits and Systems for Video Technology, Vol.4, No.1,
pp. 53-67, Feb. 1994.
Rizvi, S. A. and N. M. Nasrabadi, "Residual Vector Quantization Design Using Constrained
Optimization,"
IEEE Transactions on Signal Processing Letters, Vol. 1, No. 1, pp. 15-18,
Jan. 1994.
Polit, P. and N. M. Nasrabadi, "A New Transform Domain VQ Technique for Image Data
Compression in an Asynchronous Transfer Mode Network," in
Journal of Visual Communication and Image Representation, Vol. 1, No. 1,
Jan. 1994.
Li, W. and N. M. Nasrabadi, "Invariant Object Recognition Based on a Neural Network
of Cascaded RCE Nets,"
Int. J. Pattern Recognition and Artificial Intelligence, Vol. 7, No. 4,
pp. 815-829, August 1993.
Mohsenian, N., S. A. Rizvi and N. M. Nasrabadi, "Predictive Vector Quantization Using
a Neural Network Approach,"
Journal of Optical Engineering, Special Issue on Visual Communications,
Vol. 32, No. 7, pp. 1503-1513, July 1993.
Mohsenian, N. and N. M. Nasrabadi, "A Composite Predictive Vector Quantizer for Encoding
Still Images,"
Journal of Electronic Imaging, Vol. 1, No. 3, pp. 313-321, July 1992.
Nasrabadi, N. M., "Stereo Correspondence Using Curve-segments and Relaxation,"
IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 14,
No. 5, pp. 566-572, May 1992.
Nasrabadi, N. M., J. U. Roy and C. Y. Choo, "An Interframe Hierarchical Address-Vector
Quantization,"
IEEE Transactions Journal on Selected Areas in Communications, Vol.10, No.5,
pp. 960-967, June 1992.
Nasrabadi, N. M. and C. Y. Choo, "Hopfield Network for Stereo Correspondence,"
IEEE Transactions on Neural Networks, Vol. 3, No. 1, pp. 1-9, January
1992.
Nasrabadi, N. M. and W. Li, "Object Recognition by a Hopfield Neural Network,"
IEEE Transactions on Systems, Man and Cybernetics, Vol. 21, No. 06, pp.1-13,
Nov-Dec. 1991.
Feng, Y. and N. M. Nasrabadi, "Static and Dynamic Address-Vector Quantization of
RGB-Color Images,"
IEEE Proceedings-I Communications, Speech and Vision, Vol. 138, No. 4, pp.
225-231, August 1991.
Feng, Y., N. M. Nasrabadi and C. Y. Choo, "A Self-organizing Vector Quantization
Technique,"
Journal of Visual Communication and Image Representation, No. 2, Vol. 2,
pp. 129-137, June 1991.
Roy, J.U. and N. M. Nasrabadi, "Hierarchical Block Truncation Coding,"
Journal of Optical Engineering, Vol. 30, No. 6, pp. 551-556, May 1991.
Nasrabadi, N. M., C. Y. Choo, T. Harries and J. Smallcomb, "Hierarchical Block Truncation
Coding of Digital HDTV Images,"
IEEE Transactions on Consumer Electronics, Vol. 36, No. 3, pp. 254-261,
August 1990.
Nasrabadi, N. M. and Y. Feng, "Image Compression Using Address-Vector Quantization,"
IEEE Transactions on Communications, Vol. 38, No. 11, pp. 2166-2173, Dec.
1990.
Nasrabadi, N. M. and C. Y. Choo, "Design and Analysis of Two-channel High-definition
Television Systems,"
IEEE Transactions on Broadcasting, Vol. 36, No. 2, pp. 175-183, June 1990.
Nasrabadi, N. M. and Y. Feng, "A Multi-Layer Address-Vector Quantization,"
IEEE Transactions on Circuits and Systems, Vol. CAS-37, No. 7, pp. 912-921,
July 1990.
Nasrabadi, N. M., and Y. Liu, "Stereo Vision Correspondence Using a Multi-channel
Graph Matching Technique,"
Journal on Image and Vision Computing, Vol. 7, No. 4, pp. 237-245, Nov.
1989.
Nasrabadi, N. M., S. Clifford and Y. Liu, "Integration of Stereo Vision and Optical
Flow,"
J. Opt. Soc. Am.A., Vol. 6, No. 6, pp. 900-907, June 1989.
Nasrabadi, N. M., S. Lin and Y. Feng, "Interframe Hierarchical Vector Quantization,"
Journal of Optical Engineering, Vol. 28, No. 7, pp. 717-725, July 1989.
Nasrabadi, N. M. and R. A. King, "Image Coding Using Vector Quantization: A Review,"
IEEE Transactions on Communications, Vol. 36, No. 8, pp. 957-971, August
1988.
Nasrabadi, N. M. and R. A. King, "Interframe Coding of Moving Image Sequences,"
Photogrammetria, Vol. 39, pp. 143-154, 1984.
Nasrabadi, N. M. and R. A. King, "Fast Digital Convolution using P-Adic Transforms,"
Electronics Letters, Vol. 19, No. 7, pp. 266, March 31, 1983.
Nasrabadi, N. M. and R. A. King, "Image Coding Using Vector Quantization in the Transform
Domain,"
Pattern Recognition Letters, pp. 323, July 1, 1983.
Nasrabadi, N. M. and R. A. King, "Entropy-Coded Hybrid Differential Pulse-Code Modulation,"
Electronics Letters, Vol. 19, No. 2, pp. 83, January 20, 1983.
Nasrabadi, N. M. and R. A. King, "Computationally Efficient Discrete Cosine Transform
Algorithms,"
Electronics Letters, Vol. 19, No. 1, pp. 24, January 6, 1983.