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Author:
Nasser M. Nasrabadi: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Syed A. Rizvi, Nasser M. Nasrabadi
    Fusion Techniques for Automatic Target Recognition. [Citation Graph (0, 0)][DBLP]
    AIPR, 2003, pp:27-32 [Conf]
  2. LipChen Alex Chan, Nasser M. Nasrabadi, Vincent Mirelli
    Multi-Stage Target Recognition Using Modular Vector Quantizers and Multilayer Perceptrons. [Citation Graph (0, 0)][DBLP]
    CVPR, 1996, pp:114-119 [Conf]
  3. P. P. Polit, Nasser M. Nasrabadi
    A New Transform Domain Vector Quantization Technique for Image Data Compression in an Asynchronous Transfer Mode Network. [Citation Graph (0, 0)][DBLP]
    Data Compression Conference, 1991, pp:149-158 [Conf]
  4. LipChen Alex Chan, Sandor Z. Der, Nasser M. Nasrabadi
    Dual-Band Passive Infrared Imagery for Automatic Clutter Rejection. [Citation Graph (0, 0)][DBLP]
    ICIP, 2000, pp:- [Conf]
  5. LipChen Alex Chan, Nasser M. Nasrabadi, Don J. Torrieri
    Bipolar Elgenspace Separation Transformation for Automatic Clutter Rejection. [Citation Graph (0, 0)][DBLP]
    ICIP (1), 1999, pp:139-142 [Conf]
  6. Chang Y. Choo, Nasser M. Nasrabadi
    Evaluation of Design Parameters for a Cache Vector Quantization System. [Citation Graph (0, 0)][DBLP]
    ICIP (1), 1994, pp:129-133 [Conf]
  7. Sandor Z. Der, LipChen Alex Chan, Nasser M. Nasrabadi
    Joint compression and discrimination algorithm for clutter rejection. [Citation Graph (0, 0)][DBLP]
    ICIP (1), 2001, pp:525-528 [Conf]
  8. Heesung Kwon, Sandor Z. Der, Nasser M. Nasrabadi
    An Adaptive Hierarchical Segmentation Algorithm Based on Quadtree Decomposition for Hyperspectral Imagery. [Citation Graph (0, 0)][DBLP]
    ICIP, 2000, pp:- [Conf]
  9. Heesung Kwon, Sandor Z. Der, Nasser M. Nasrabadi
    Projection-based adaptive anomaly detection for hyperspectral imagery. [Citation Graph (0, 0)][DBLP]
    ICIP (1), 2003, pp:1001-1004 [Conf]
  10. Heesung Kwon, Nasser M. Nasrabadi
    An adaptive segmentation algorithm using iterative local feature extraction for hyperspectral imagery. [Citation Graph (0, 0)][DBLP]
    ICIP (1), 2001, pp:74-77 [Conf]
  11. Heesung Kwon, Nasser M. Nasrabadi
    Hyperspectral target detection using kernel matched subspace detector. [Citation Graph (0, 0)][DBLP]
    ICIP, 2004, pp:3327-3330 [Conf]
  12. Heesung Kwon, Nasser M. Nasrabadi
    Hyperspectral anomaly detection using kernel rx-algorithm. [Citation Graph (0, 0)][DBLP]
    ICIP, 2004, pp:3331-3334 [Conf]
  13. Heesung Kwon, Mahesh Venkatraman, Nasser M. Nasrabadi
    Very-Low-Bit-Rate Video Coding using Quadtree Decomposition and Cache-based Vector Quantization. [Citation Graph (0, 0)][DBLP]
    ICIP (3), 1998, pp:962-966 [Conf]
  14. Syed A. Rizvi, Nasser M. Nasrabadi
    Predictive Residual Vector Quantization. [Citation Graph (0, 0)][DBLP]
    ICIP (1), 1994, pp:608-612 [Conf]
  15. Syed A. Rizvi, Nasser M. Nasrabadi
    Lossless Image Compression Using Modular Differential Pulse Code Modulation. [Citation Graph (0, 0)][DBLP]
    ICIP (1), 1999, pp:440-443 [Conf]
  16. Syed A. Rizvi, Nasser M. Nasrabadi, Sandor Z. Der
    A Clutter Rejection Technique for FLIR Imagery Using Region-Based Principal Component Analysis. [Citation Graph (0, 0)][DBLP]
    ICIP (4), 1999, pp:415-419 [Conf]
  17. Syed A. Rizvi, Tarek N. Saadawi, Nasser M. Nasrabadi
    A Modular Clutter Rejection Technique for FLIR Imagery Using Region-Based Principal Component Analysis. [Citation Graph (0, 0)][DBLP]
    ICIP, 2000, pp:- [Conf]
  18. Syed A. Rizvi, Lin-Cheng Wang, Nasser M. Nasrabadi
    Rate-Constrained Modular Predictive Residual Vector Quantization. [Citation Graph (0, 0)][DBLP]
    ICIP (3), 1997, pp:102-105 [Conf]
  19. Mahesh Venkatraman, Nasser M. Nasrabadi
    Constrained Gradient Descent Algorithm for Residual Vector Quantizer Design. [Citation Graph (0, 0)][DBLP]
    ICIP (1), 1994, pp:124-128 [Conf]
  20. Lin-Cheng Wang, LipChen Alex Chan, Nasser M. Nasrabadi, Sandor Z. Der
    Combination of Two Learning Algorithms for Automatic Target Recognition. [Citation Graph (0, 0)][DBLP]
    ICIP (1), 1997, pp:881-884 [Conf]
  21. Susan S. Young, Nasser M. Nasrabadi, Mehrad Soumekh
    Clutter rejection in FLIR imagery using spatially-varying adaptive filtering. [Citation Graph (0, 0)][DBLP]
    ICIP (1), 2003, pp:837-840 [Conf]
  22. Heesung Kwon, Nasser M. Nasrabadi
    Hyperspectral target detection using kernel orthogonal subspace projection. [Citation Graph (0, 0)][DBLP]
    ICIP (2), 2005, pp:702-705 [Conf]
  23. Heesung Kwon, Sandor Z. Der, Nasser M. Nasrabadi
    Unsupervised segmentation algorithm based on an iterative spectral dissimilarity measure for hyperspectral imagery. [Citation Graph (0, 0)][DBLP]
    VCIP, 2001, pp:144-152 [Conf]
  24. 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. [Citation Graph (0, 0)][DBLP]
    Computer Vision and Image Understanding, 2001, v:84, n:1, pp:5-24 [Journal]
  25. LipChen Alex Chan, Nasser M. Nasrabadi
    An Application of Wavelet-Based Vector Quantization in Target Recognition. [Citation Graph (0, 0)][DBLP]
    International Journal on Artificial Intelligence Tools, 1997, v:6, n:2, pp:165-178 [Journal]
  26. Heesung Kwon, Nasser M. Nasrabadi
    Kernel Spectral Matched Filter for Hyperspectral Imagery. [Citation Graph (0, 0)][DBLP]
    International Journal of Computer Vision, 2007, v:71, n:2, pp:127-141 [Journal]
  27. Wei Li, Nasser M. Nasrabadi
    Invariant Object Recognition Based on A Neural Network of Cascaded RCE Nets. [Citation Graph (0, 0)][DBLP]
    IJPRAI, 1993, v:7, n:4, pp:815-829 [Journal]
  28. LipChen Alex Chan, Sandor Z. Der, Nasser M. Nasrabadi
    Dualband FLIR fusion for automatic target recognition. [Citation Graph (0, 0)][DBLP]
    Information Fusion, 2003, v:4, n:1, pp:35-45 [Journal]
  29. Syed A. Rizvi, Nasser M. Nasrabadi
    Fusion of FLIR automatic target recognition algorithms. [Citation Graph (0, 0)][DBLP]
    Information Fusion, 2003, v:4, n:4, pp:247-258 [Journal]
  30. Nasser M. Nasrabadi, Yi Liu
    Stereo vision correspondence using a multichannel graph matching technique. [Citation Graph (0, 0)][DBLP]
    Image Vision Comput., 1989, v:7, n:4, pp:237-245 [Journal]
  31. Heesung Kwon, Mahesh Venkatraman, Nasser M. Nasrabadi
    Very Low Bit-Rate Video Coding Using Variable Block-Size Entropy-Constrained Residual Vector Quantizers. [Citation Graph (0, 0)][DBLP]
    IEEE Journal on Selected Areas in Communications, 1997, v:15, n:9, pp:1714-1725 [Journal]
  32. Nasser M. Nasrabadi, Chang Y. Choo, Jennifer U. Roy
    Interframe Hierarchical Address-Vector Quantization. [Citation Graph (0, 0)][DBLP]
    IEEE Journal on Selected Areas in Communications, 1992, v:10, n:5, pp:960-967 [Journal]
  33. Heesung Kwon, Nasser M. Nasrabadi
    Kernel Matched Subspace Detectors for Hyperspectral Target Detection. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2006, v:28, n:2, pp:178-194 [Journal]
  34. Nasser M. Nasrabadi
    A Stereo Vision Technique Using Curve-Segments and Relaxation Matching. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 1992, v:14, n:5, pp:566-572 [Journal]
  35. Giovanni Seni, Rohini K. Srihari, Nasser M. Nasrabadi
    Large Vocabulary Recognition of On-Line Handwritten Cursive Words. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 1996, v:18, n:7, pp:757-762 [Journal]
  36. Syed A. Rizvi, Nasser M. Nasrabadi
    A modular clutter rejection technique for FLIR imagery using region-based principal component analysis. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2002, v:35, n:12, pp:2895-2904 [Journal]
  37. Syed A. Rizvi, Tarek N. Saadawi, Nasser M. Nasrabadi
    A clutter rejection technique for FLIR imagery using region based principal component analysis. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2000, v:33, n:11, pp:1931-1933 [Journal]
  38. Christopher F. Barnes, Syed A. Rizvi, Nasser M. Nasrabadi
    Advances in residual vector quantization: a review. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 1996, v:5, n:2, pp:226-262 [Journal]
  39. 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. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 1998, v:7, n:8, pp:1093-1096 [Journal]
  40. Nader Mohsenian, Homayoun Shahri, Nasser M. Nasrabadi
    Scalar-vector quantization of medical images. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 1996, v:5, n:2, pp:387-392 [Journal]
  41. Nasser M. Nasrabadi, Syed A. Rizvi
    Next-state functions for finite-state vector quantization. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 1995, v:4, n:12, pp:1592-1601 [Journal]
  42. Syed A. Rizvi, Nasser M. Nasrabadi
    Predictive residual vector quantization [image coding]. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 1995, v:4, n:11, pp:1482-1495 [Journal]
  43. Syed A. Rizvi, Lin-Cheng Wang, Nasser M. Nasrabadi
    Nonlinear vector prediction using feed-forward neural networks. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 1997, v:6, n:10, pp:1431-1436 [Journal]
  44. Lin-Cheng Wang, Sandor Z. Der, Nasser M. Nasrabadi
    Automatic target recognition using a feature-decomposition and data-decomposition modular neural network. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 1998, v:7, n:8, pp:1113-1121 [Journal]
  45. Lin-Cheng Wang, Syed A. Rizvi, Nasser M. Nasrabadi
    A modular neural network vector predictor for predictive image coding. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 1998, v:7, n:8, pp:1198-1217 [Journal]
  46. Susan S. Young, Peter D. Scott, Nasser M. Nasrabadi
    Object recognition using multilayer Hopfield neural network. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 1997, v:6, n:3, pp:357-372 [Journal]
  47. LipChen Alex Chan, Sandor Z. Der, Nasser M. Nasrabadi
    A joint compression-discrimination neural transformation applied to target detection. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part B, 2005, v:35, n:4, pp:670-681 [Journal]

  48. Regularized Spectral Matched Filter for Target Detection in Hyperspectral Imagery. [Citation Graph (, )][DBLP]


  49. A nonlinear kernel-based joint fusion/detection of anomalies using Hyperspectral and SAR imagery. [Citation Graph (, )][DBLP]


  50. Kernel-Based Spectral Matched Signal Detectors for Hyperspectral Target Detection. [Citation Graph (, )][DBLP]


  51. Relaxation Based Modeling and Recognition of 3D Surfaces from Range Data. [Citation Graph (, )][DBLP]


  52. Joint fusion and detection of mines using hyperspectral and SAR data. [Citation Graph (, )][DBLP]


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