Nasser M. Nasrabadi

Umamahesh Srinivas, Yi Chen, Vishal Monga, Nasser M. Nasrabadi, Trac D. Tran: Exploiting Sparsity in Hyperspectral Image Classification via Graphical Models. IEEE Geosci. Remote Sensing Lett. 10(3): 505-509 (2013)

Yi Chen, Nasser M. Nasrabadi, Trac D. Tran: Hyperspectral Image Classification via Kernel Sparse Representation. IEEE T. Geoscience and Remote Sensing 51(1): 217-231 (2013)

Haichao Zhang, Nasser M. Nasrabadi, Yanning Zhang, Thomas S. Huang: Joint dynamic sparse representation for multi-view face recognition. Pattern Recognition 45(4): 1290-1298 (2012)

Haichao Zhang, Yanning Zhang, Nasser M. Nasrabadi, Thomas S. Huang: Joint-Structured-Sparsity-Based Classification for Multiple-Measurement Transient Acoustic Signals. IEEE Transactions on Systems, Man, and Cybernetics, Part B 42(6): 1586-1598 (2012)

Sumit Shekhar, Vishal M. Patel, Nasser M. Nasrabadi, Rama Chellappa: Joint Sparsity-Based Robust Multimodal Biometrics Recognition. ECCV Workshops (3) 2012: 365-374

Hien Van Nguyen, Vishal M. Patel, Nasser M. Nasrabadi, Rama Chellappa: Sparse Embedding: A Framework for Sparsity Promoting Dimensionality Reduction. ECCV (6) 2012: 414-427

Haichao Zhang, Yanning Zhang, Nasser M. Nasrabadi, Thomas S. Huang: Kernel multi-metric learning for multi-channel transient acoustic signal classification. ICASSP 2012: 1989-1992

Hien Van Nguyen, Vishal M. Patel, Nasser M. Nasrabadi, Rama Chellappa: Kernel dictionary learning. ICASSP 2012: 2021-2024

Haichao Zhang, Yanning Zhang, Nasser M. Nasrabadi, Thomas S. Huang: Joint dynamic sparse learning and its application to multi-view face recognition. ICPR 2012: 1671-1674

Umamahesh Srinivas, Yi Chen, Vishal Monga, Nasser M. Nasrabadi, Trac D. Tran: Discriminative graphical models for sparsity-based hyperspectral target detection. IGARSS 2012: 1489-1492

Yi Chen, Nasser M. Nasrabadi, Trac D. Tran: Kernel sparse representation for hyperspectral target detection. IGARSS 2012: 7484-7487

Yi Chen, Nasser M. Nasrabadi, Trac D. Tran: Sparse Representation for Target Detection in Hyperspectral Imagery. J. Sel. Topics Signal Processing 5(3): 629-640 (2011)

Yi Chen, Nasser M. Nasrabadi, Trac D. Tran: Simultaneous Joint Sparsity Model for Target Detection in Hyperspectral Imagery. IEEE Geosci. Remote Sensing Lett. 8(4): 676-680 (2011)

Yi Chen, Nasser M. Nasrabadi, Trac D. Tran: Hyperspectral Image Classification Using Dictionary-Based Sparse Representation. IEEE T. Geoscience and Remote Sensing 49(10): 3973-3985 (2011)

Haichao Zhang, Nasser M. Nasrabadi, Thomas S. Huang, Yanning Zhang: Transient acoustic signal classification using joint sparse representation. ICASSP 2011: 2220-2223

Haichao Zhang, Nasser M. Nasrabadi, Yanning Zhang, Thomas S. Huang: Multi-observation visual recognition via joint dynamic sparse representation. ICCV 2011: 595-602

Haichao Zhang, Jianchao Yang, Yanning Zhang, Nasser M. Nasrabadi, Thomas S. Huang: Close the loop: Joint blind image restoration and recognition with sparse representation prior. ICCV 2011: 770-777

Yi Chen, Nasser M. Nasrabadi, Trac D. Tran: Hyperspectral image classification via kernel sparse representation. ICIP 2011: 1233-1236

Haichao Zhang, Nasser M. Nasrabadi, Thomas S. Huang, Yanning Zhang: Multi-view face recognition via joint dynamic sparse representation. ICIP 2011: 3025-3028

Nam H. Nguyen, Nasser M. Nasrabadi, Trac D. Tran: Robust Lasso with missing and grossly corrupted observations. NIPS 2011: 1881-1889

Vishal M. Patel, Nasser M. Nasrabadi, Rama Chellappa: Automatic target recognition based on simultaneous sparse representation. ICIP 2010: 1377-1380

Asif Mehmood, Nasser M. Nasrabadi: Anomaly Detection for Longwave FLIR Imagery Using Kernel Wavelet-RX. ICPR 2010: 1385-1388

Yi Chen, Nasser M. Nasrabadi, Trac D. Tran: Sparsity-based classification of hyperspectral imagery. IGARSS 2010: 2796-2799

Lance M. Kaplan, Nasser M. Nasrabadi: Block Wiener-based image registration for moving target indication. Image Vision Comput. 27(6): 694-703 (2009)

Nasser M. Nasrabadi: Wiener Prediction-based Change Detection for Locating Mines in Multilook SAR Imagery. IGARSS (2) 2009: 113-116

Jaakko Astola, Karen O. Egiazarian, Nasser M. Nasrabadi, Syed A. Rizvi (Eds.): Image Processing: Algorithms and Systems VII, 19 January 2009, San Jose, California, USA. SPIE Proceedings 7245, SPIE 2009

Nasser M. Nasrabadi: A nonlinear kernel-based joint fusion/detection of anomalies using Hyperspectral and SAR imagery. ICIP 2008: 1864-1867

Nasser M. Nasrabadi: Joint fusion and detection of mines using hyperspectral and SAR data. Image Processing: Algorithms and Systems 2008: 68120

Heesung Kwon, Nasser M. Nasrabadi: A Comparative Analysis of Kernel Subspace Target Detectors for Hyperspectral Imagery. EURASIP J. Adv. Sig. Proc. 2007 (2007)

Heesung Kwon, Nasser M. Nasrabadi: Kernel Spectral Matched Filter for Hyperspectral Imagery. International Journal of Computer Vision 71(2): 127-141 (2007)

Christopher M. Bishop, Nasser M. Nasrabadi: Pattern Recognition and Machine Learning. J. Electronic Imaging 16(4): 049901 (2007)

Nasser M. Nasrabadi: Regularized Spectral Matched Filter for Target Detection in Hyperspectral Imagery. ICIP (4) 2007: 105-108

Nasser M. Nasrabadi: Penalized spectral matched filter for target detection in hyperspectral imagery. IGARSS 2007: 4830-4833

Nasser M. Nasrabadi: Kernel-Based Spectral Matched Signal Detectors for Hyperspectral Target Detection. PReMI 2007: 67-76

Heesung Kwon, Nasser M. Nasrabadi: Kernel Matched Subspace Detectors for Hyperspectral Target Detection. IEEE Trans. Pattern Anal. Mach. Intell. 28(2): 178-194 (2006)

Heesung Kwon, Nasser M. Nasrabadi: Kernel RX-algorithm: a nonlinear anomaly detector for hyperspectral imagery. IEEE T. Geoscience and Remote Sensing 43(2): 388-397 (2005)

Heesung Kwon, Nasser M. Nasrabadi: Kernel orthogonal subspace projection for hyperspectral signal classification. IEEE T. Geoscience and Remote Sensing 43(12): 2952-2962 (2005)

LipChen Alex Chan, Sandor Z. Der, Nasser M. Nasrabadi: A joint compression-discrimination neural transformation applied to target detection. IEEE Transactions on Systems, Man, and Cybernetics, Part B 35(4): 670-681 (2005)

Heesung Kwon, Nasser M. Nasrabadi: Hyperspectral target detection using kernel orthogonal subspace projection. ICIP (2) 2005: 702-705

Heesung Kwon, Nasser M. Nasrabadi: Hyperspectral target detection using kernel matched subspace detector. ICIP 2004: 3327-3330

Heesung Kwon, Nasser M. Nasrabadi: Hyperspectral anomaly detection using kernel rx-algorithm. ICIP 2004: 3331-3334

LipChen Alex Chan, Sandor Z. Der, Nasser M. Nasrabadi: Dualband FLIR fusion for automatic target recognition. Information Fusion 4(1): 35-45 (2003)

Syed A. Rizvi, Nasser M. Nasrabadi: Fusion of FLIR automatic target recognition algorithms. Information Fusion 4(4): 247-258 (2003)

Syed A. Rizvi, Nasser M. Nasrabadi: Fusion Techniques for Automatic Target Recognition. AIPR 2003: 27-32

Susan S. Young, Nasser M. Nasrabadi, Mehrad Soumekh: Clutter rejection in FLIR imagery using spatially-varying adaptive filtering. ICIP (1) 2003: 837-840

Heesung Kwon, Sandor Z. Der, Nasser M. Nasrabadi: Projection-based adaptive anomaly detection for hyperspectral imagery. ICIP (1) 2003: 1001-1004

Syed A. Rizvi, Nasser M. Nasrabadi: A modular clutter rejection technique for FLIR imagery using region-based principal component analysis. Pattern Recognition 35(12): 2895-2904 (2002)

Baoxin Li, Rama Chellappa, Qinfen Zheng, Sandor Z. Der, Nasser M. Nasrabadi, LipChen Alex Chan, Lin-Cheng Wang: Experimental Evaluation of FLIR ATR Approaches - A Comparative Study. Computer Vision and Image Understanding 84(1): 5-24 (2001)

Heesung Kwon, Nasser M. Nasrabadi: An adaptive segmentation algorithm using iterative local feature extraction for hyperspectral imagery. ICIP (1) 2001: 74-77

Sandor Z. Der, LipChen Alex Chan, Nasser M. Nasrabadi: Joint compression and discrimination algorithm for clutter rejection. ICIP (1) 2001: 525-528

Heesung Kwon, Sandor Z. Der, Nasser M. Nasrabadi: Unsupervised segmentation algorithm based on an iterative spectral dissimilarity measure for hyperspectral imagery. VCIP 2001: 144-152

Syed A. Rizvi, Tarek N. Saadawi, Nasser M. Nasrabadi: A clutter rejection technique for FLIR imagery using region based principal component analysis. Pattern Recognition 33(11): 1931-1933 (2000)

LipChen Alex Chan, Sandor Z. Der, Nasser M. Nasrabadi: Dual-Band Passive Infrared Imagery for Automatic Clutter Rejection. ICIP 2000: 463-466

Syed A. Rizvi, Tarek N. Saadawi, Nasser M. Nasrabadi: A Modular Clutter Rejection Technique for FLIR Imagery Using Region-Based Principal Component Analysis. ICIP 2000: 475-478

Heesung Kwon, Sandor Z. Der, Nasser M. Nasrabadi: An Adaptive Hierarchical Segmentation Algorithm Based on Quadtree Decomposition for Hyperspectral Imagery. ICIP 2000: 776-779

LipChen Alex Chan, Nasser M. Nasrabadi, Don J. Torrieri: Bipolar Elgenspace Separation Transformation for Automatic Clutter Rejection. ICIP (1) 1999: 139-142

Syed A. Rizvi, Nasser M. Nasrabadi, Sandor Z. Der: A Clutter Rejection Technique for FLIR Imagery Using Region-Based Principal Component Analysis. ICIP (4) 1999: 415-419

Syed A. Rizvi, Nasser M. Nasrabadi: Lossless Image Compression Using Modular Differential Pulse Code Modulation. ICIP (1) 1999: 440-443

Heesung Kwon, Mahesh Venkatraman, Nasser M. Nasrabadi: Multiscale video compression using adaptive finite-state vector quantization. J. Electronic Imaging 7(4): 725-739 (1998)

Rama Chellappa, Kunihiko Fukushima, Aggelos K. Katsaggelos, Sun-Yuan Kung, Yann LeCun, Nasser M. Nasrabadi, Tomaso Poggio: Guest Editorial Applications Of Artificial Neural Networks To Image Processing. IEEE Transactions on Image Processing 7(8): 1093-1096 (1998)

Lin-Cheng Wang, Sandor Z. Der, Nasser M. Nasrabadi: Automatic target recognition using a feature-decomposition and data-decomposition modular neural network. IEEE Transactions on Image Processing 7(8): 1113-1121 (1998)

Lin-Cheng Wang, Syed A. Rizvi, Nasser M. Nasrabadi: A modular neural network vector predictor for predictive image coding. IEEE Transactions on Image Processing 7(8): 1198-1217 (1998)

Heesung Kwon, Mahesh Venkatraman, Nasser M. Nasrabadi: Very-Low-Bit-Rate Video Coding using Quadtree Decomposition and Cache-based Vector Quantization. ICIP (3) 1998: 962-966

LipChen Alex Chan, Nasser M. Nasrabadi: An Application of Wavelet-Based Vector Quantization in Target Recognition. International Journal on Artificial Intelligence Tools 6(2): 165-178 (1997)

Heesung Kwon, Mahesh Venkatraman, Nasser M. Nasrabadi: Very Low Bit-Rate Video Coding Using Variable Block-Size Entropy-Constrained Residual Vector Quantizers. IEEE Journal on Selected Areas in Communications 15(9): 1714-1725 (1997)

Syed A. Rizvi, Nasser M. Nasrabadi: Finite-state residual vector quantization using a tree-structured competitive neural network. IEEE Trans. Circuits Syst. Video Techn. 7(2): 377-390 (1997)

Susan S. Young, Peter D. Scott, Nasser M. Nasrabadi: Object recognition using multilayer Hopfield neural network. IEEE Transactions on Image Processing 6(3): 357-372 (1997)

Syed A. Rizvi, Lin-Cheng Wang, Nasser M. Nasrabadi: Nonlinear vector prediction using feed-forward neural networks. IEEE Transactions on Image Processing 6(10): 1431-1436 (1997)

Syed A. Rizvi, Lin-Cheng Wang, Nasser M. Nasrabadi: Rate-Constrained Modular Predictive Residual Vector Quantization. ICIP (3) 1997: 102-105

Lin-Cheng Wang, LipChen Alex Chan, Nasser M. Nasrabadi, Sandor Z. Der: Combination of Two Learning Algorithms for Automatic Target Recognition. ICIP (1) 1997: 881-884

Giovanni Seni, Rohini K. Srihari, Nasser M. Nasrabadi: Large Vocabulary Recognition of On-Line Handwritten Cursive Words. IEEE Trans. Pattern Anal. Mach. Intell. 18(7): 757-762 (1996)

Christopher F. Barnes, Syed A. Rizvi, Nasser M. Nasrabadi: Advances in residual vector quantization: a review. IEEE Transactions on Image Processing 5(2): 226-262 (1996)

Nader Mohsenian, Homayoun Shahri, Nasser M. Nasrabadi: Scalar-vector quantization of medical images. IEEE Transactions on Image Processing 5(2): 387-392 (1996)

Jae-Soo Kim, Sahng H. Park, Patrick W. Dowd, Nasser M. Nasrabadi: Channel assignment in cellular radio using genetic algorithms. Wireless Personal Communications 3(3): 273-286 (1996)

LipChen Alex Chan, Nasser M. Nasrabadi, Vincent Mirelli: Multi-Stage Target Recognition Using Modular Vector Quantizers and Multilayer Perceptrons. CVPR 1996: 114-119

Lin-Cheng Wang, Syed A. Rizvi, Nasser M. Nasrabadi: A modular neural network vector predictor for predictive VQ. ICIP (3) 1996: 431-434

Euee S. Jang, Nasser M. Nasrabadi: Subband coding with multistage VQ for wireless image communication. IEEE Trans. Circuits Syst. Video Techn. 5(3): 247-253 (1995)

Syed A. Rizvi, Nasser M. Nasrabadi: An efficient Euclidean distance computation for vector quantization using a truncated look-up table. IEEE Trans. Circuits Syst. Video Techn. 5(4): 370-371 (1995)

Syed A. Rizvi, Nasser M. Nasrabadi: Predictive residual vector quantization [image coding]. IEEE Transactions on Image Processing 4(11): 1482-1495 (1995)

Nasser M. Nasrabadi, Syed A. Rizvi: Next-state functions for finite-state vector quantization. IEEE Transactions on Image Processing 4(12): 1592-1601 (1995)

Syed A. Rizvi, Nasser M. Nasrabadi, Lin-Cheng Wang: Entropy-constrained predictive residual vector quantization of digital images. ICIP (3) 1995: 272-275

Syed A. Rizvi, Lin-Cheng Wang, Nasser M. Nasrabadi: Neural network vector predictors with application to image coding. ICIP (3) 1995: 296-299

Nasser M. Nasrabadi, Chang Y. Choo, Yushu Feng: Dynamic finite-state vector quantization of digital images. IEEE Transactions on Communications 42(5): 2145-2154 (1994)

Nader Mohsenian, Nasser M. Nasrabadi: Edge-based subband VQ techniques for images and video. IEEE Trans. Circuits Syst. Video Techn. 4(1): 53-67 (1994)

Mahesh Venkatraman, Nasser M. Nasrabadi: Constrained Gradient Descent Algorithm for Residual Vector Quantizer Design. ICIP (1) 1994: 124-128

Chang Y. Choo, Nasser M. Nasrabadi: Evaluation of Design Parameters for a Cache Vector Quantization System. ICIP (1) 1994: 129-133

Syed A. Rizvi, Nasser M. Nasrabadi: Predictive Residual Vector Quantization. ICIP (1) 1994: 608-612

Wei Li, Nasser M. Nasrabadi: Invariant Object Recognition Based on A Neural Network of Cascaded RCE Nets. IJPRAI 7(4): 815-829 (1993)

Nader Mohsenian, Nasser M. Nasrabadi: Composite predictive vector quantizer for encoding of still images. J. Electronic Imaging 1(3): 313-321 (1992)

Nasser M. Nasrabadi, Chang Y. Choo, Jennifer U. Roy: Interframe Hierarchical Address-Vector Quantization. IEEE Journal on Selected Areas in Communications 10(5): 960-967 (1992)

Nasser M. Nasrabadi: A Stereo Vision Technique Using Curve-Segments and Relaxation Matching. IEEE Trans. Pattern Anal. Mach. Intell. 14(5): 566-572 (1992)

Nasser M. Nasrabadi, Wei Li: Object recognition by a Hopfield neural network. IEEE Transactions on Systems, Man, and Cybernetics 21(6): 1523-1535 (1991)

P. P. Polit, Nasser M. Nasrabadi: A New Transform Domain Vector Quantization Technique for Image Data Compression in an Asynchronous Transfer Mode Network. Data Compression Conference 1991: 149-158

Nasser M. Nasrabadi, Yushu Feng: Image compression using address-vector quantization. IEEE Transactions on Communications 38(12): 2166-2173 (1990)

Nasser M. Nasrabadi, Wei Li, Chang Y. Choo: Object recognition by a Hopfield neural network. ICCV 1990: 325-328

Chang Y. Choo, Nasser M. Nasrabadi, William I. Kwak: Relaxation Based Modeling and Recognition of 3D Surfaces from Range Data. MVA 1990: 47-50

Nasser M. Nasrabadi, Yi Liu: Stereo vision correspondence using a multichannel graph matching technique. Image Vision Comput. 7(4): 237-245 (1989)