Journal Papers
Recent Conference Papers (1996-present)
Complete List of Publications

Journal Papers

  1. S. A. Rizvi, L.-C. Wang, and N. M. Nasrabadi, ``Nonlinear vector prediction using feed-forward neural networks,'' IEEE Trans. Image Processing, vol. 6, no. 10, pp. 1431-1436, Oct. 1997.

  2. S. A. Rizvi and N. M. Nasrabadi, ``Finite-state residual vector quantizer using a tree-structure competitive neural network,'' IEEE Transactions on Circuits and Systems for Video Technology, vol. 7, no. 2, pp. 377-390, April 1997.

  3. S. A. Rizvi, L.-C. Wang, and N. M. Nasrabadi, ``Neural network architectures for vector prediction,'' Proceedings of the IEEE, vol. 84, no. 10, pp. 1513-1528, Oct. 1996.

  4. C. F. Barnes, S. A. Rizvi, and N. M. Nasrabadi, ``Advances in residual vector quantization of images: A review,'' IEEE Transactions on Image Processing, vol. 5, no. 2, pp. 226-262, Feb. 1996, (invited paper).

  5. S. A. Rizvi, N. M. Nasrabadi, and L.-C. Wang, ``Entropy-constrained predictive residual vector quantization,'' Optical Engineering, vol. 35, no. 1, pp. 187-197, Jan. 1996.

  6. N. M. Nasrabadi and S. A. Rizvi, ``Next-state functions for finite state vector quantization," IEEE Transactions on Image Processing, , vol. 4, no. 12, pp. 1592-1601, Dec. 1995.

  7. S. A. Rizvi and N. M. Nasrabadi, ``Predictive residual vector quantization, " IEEE Transactions on Image Processing , vol. 4, no. 11, pp. 1482-1495, Nov. 1995.

  8. S. A. Rizvi 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.

  9. S. A. Rizvi and N. M. Nasrabadi, ``Variable-rate predictive residual vector quantizer,'' IEEE Signal Processing Letters, vol. 2, no. 4, pp. 70-72, April 1995.

  10. S. A. Rizvi and N. M. Nasrabadi, ``Residual vector quantization using a multi-layer competitive neural network," IEEE Journal on Selected Areas in Communications , vol. 12, no. 9, pp. 1452-1459, Dec. 1994.

  11. S. A. Rizvi and N. M. Nasrabadi, ``Predictive vector quantization using constrained optimization,'' IEEE Signal Processing Letters, vol. 1, no. 1, pp. 15-18, January 1994.

  12. N. Mohsenian, S. A. Rizvi, and N. M. Nasrabadi, ``Predictive vector quantization using a neural net approach," Optical Engineering , vol. 32, no. 7, pp. 1503-1513, July 1993.

Recent Conference Papers (1996-present)

  1. S. A. Rizvi, P. J. Phillips, and H. Moon, ``A verification protocol and statistical performance analysis for face recognition algorithms,'' To appear in Proc. IEEE Conf. Computer Vision and Pattern Recognition (CVPR), (Santa Barbara), June 23-25, 1998.

  2. S. A. Rizvi, P. J. Phillips, and H. Moon, ``The FERET verification testing protocol for face recognition algorithms,'' To appear in Proc. Third IEEE International Conference on Automatic Face and Gesture Recognition, (FG'98) (Nara, Japan) April 14-16, 1998.

  3. S. A. Rizvi, {L.-C. Wang, and N. M. Nasrabadi, ``Rate-constrained modular predictive residual vector quantization,'' in Proc. IEEE International Conference on Image Processing, (Santa Barbara), Oct. 26-29, 1997, pp. 102-105.

  4. P. J. Phillips, H. Moon, P. Rauss, and S. A. Rizvi, ``The FERET evaluation methodology for face-recognition algorithms,'' in Proc. IEEE Conf. Computer Vision and Pattern Recognition (CVPR), (Puerto Rico), June 17-19, 1997, pp. 137-143.

  5. L.-C. Wang, S. A. Rizvi, and N. M. Nasrabadi, ``A predictive residual VQ using modular neural network vector predictor,'' Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (Munich, Germany), April 21-24, 1997.

  6. P. J. Phillips, H. Moon, P. Rauss, S. A. Rizvi, ``The FERET September 1996 database and evaluation procedure,'' in Proc. First International Conference on Audio-and Video-based Biometric Person Authentication (Crans-Montana, Switzerland), March 12-14, 1997.

  7. 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 Proc. IS\&T/SPIE Symposium on Electronic Imaging Science and Technology (San Jose), Feb. 9-14, 1997, vol. 3030, pp. 76-87.

  8. S. A. Rizvi, A. Chen, V. Mirelli, N. M. Nasrabadi, L.-C. Wang, S. Der, and M. Hamilton, ``Mixture-of-expert approach to target recognition in FLIR imagery,'' in Proc. Third Workshop on Conventional Weapon ATR: Detection, Classification, Recognition \& identification of Targets in Clutter (Redstone Arsenal, Alabama), November 13-15, 1996, pp. 173-203.

  9. L.-C. Wang, S. A. Rizvi, and N. M. Nasrabadi, ``A modular neural network vector predictor for Predictive VQ,'' Proc. IEEE International Conference on Image Processing, (Lausanne, Switzerland), September 16-19, 1996, pp. 431-434.

  10. E. S. Jang, H. Kwon, L.-C. Wang, S. A. Rizvi, and N. M. Nasrabadi, "Segmentation based wavelet coding of digital images," in Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (Atlanta, Georgia), May 7-10, 1996.

  11. V. Mirelli and S. A. Rizvi, "Automatic target recognition using a multi-layer convolution neural network,'' in Proc. SPIE's Symp. Aerospace/Defense Sensing and Controls (Orlando, Florida), April 8-12, 1996, vol. 2755, pp. 106-125.

  12. Nasser M. Nasrabadi, Joseph Sattler, Heesung Kwon, and S. A. Rizvi, "High compression of SAR imagery for battlefield surveillance,'' in Proc. SPIE's Symp. Aerospace/Defense Sensing and Controls (Orlando, Florida), April 8-12, 1996, vol. 2757, pp. 397-408.

  13. S. A. Rizvi and N. M. Nasrabadi, "Entropy-constrained finite-state residual vector quantization: a new scheme for low bit-rate coding,'' in Proc. SPIE Visual Communications and Image Processing'96 (Orlando, Florida), March 17-20, 1996, vol. 2727, pp. 263-274.

  14. S. A. Rizvi, N. Mohsenian, and N. M. Nasrabadi, ``Color image compression using neural network prediction of color components,'' in Proc. IS\&T/SPIE Symposium on Electronic Imaging Science and Technology (San Jose), Jan. 28 to Feb. 2, 1996, vol. 2664, pp. 37-46.

  15. L.-C. Wang, S. A. Rizvi, and N. M. Nasrabadi, ``An adaptive neural network vector prediction system,'' in Proc. IS\&T/SPIE Symposium on Electronic Imaging Science and Technology (San Jose), Jan. 28 to Feb. 2, 1996, vol. 2664, pp. 2-13.

Complete List of Publications

  1. S. A. Rizvi, L.-C. Wang, and N. M. Nasrabadi, ``Nonlinear vector prediction using feed-forward neural networks,'' IEEE Trans. Image Processing, vol. 6, no. 10, pp. 1431-1436, Oct. 1997.

  2. S. A. Rizvi and N. M. Nasrabadi, ``Finite-state residual vector quantizer using a tree-structure competitive neural network,'' IEEE Transactions on Circuits and Systems for Video Technology, vol. 7, no. 2, pp. 377-390, April 1997.

  3. S. A. Rizvi, L.-C. Wang, and N. M. Nasrabadi, ``Neural network architectures for vector prediction,'' Proceedings of the IEEE, vol. 84, no. 10, pp. 1513-1528, Oct. 1996.

  4. C. F. Barnes, S. A. Rizvi, and N. M. Nasrabadi, ``Advances in residual vector quantization of images: A review,'' IEEE Transactions on Image Processing, vol. 5, no. 2, pp. 226-262, Feb. 1996, (invited paper).

  5. S. A. Rizvi, N. M. Nasrabadi, and L.-C. Wang, ``Entropy-constrained predictive residual vector quantization,'' Optical Engineering, vol. 35, no. 1, pp. 187-197, Jan. 1996.

  6. N. M. Nasrabadi and S. A. Rizvi, ``Next-state functions for finite state vector quantization," IEEE Transactions on Image Processing, , vol. 4, no. 12, pp. 1592-1601, Dec. 1995.

  7. S. A. Rizvi and N. M. Nasrabadi, ``Predictive residual vector quantization, " IEEE Transactions on Image Processing , vol. 4, no. 11, pp. 1482-1495, Nov. 1995.

  8. S. A. Rizvi 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.

  9. S. A. Rizvi and N. M. Nasrabadi, ``Variable-rate predictive residual vector quantizer,'' IEEE Signal Processing Letters, vol. 2, no. 4, pp. 70-72, April 1995.

  10. S. A. Rizvi and N. M. Nasrabadi, ``Residual vector quantization using a multi-layer competitive neural network," IEEE Journal on Selected Areas in Communications , vol. 12, no. 9, pp. 1452-1459, Dec. 1994.

  11. S. A. Rizvi and N. M. Nasrabadi, ``Predictive vector quantization using constrained optimization,'' IEEE Signal Processing Letters, vol. 1, no. 1, pp. 15-18, January 1994.

  12. N. Mohsenian, S. A. Rizvi, and N. M. Nasrabadi, ``Predictive vector quantization using a neural net approach," Optical Engineering , vol. 32, no. 7, pp. 1503-1513, July 1993.

  13. S. A. Rizvi, P. J. Phillips, and H. Moon, ``A verification protocol and statistical performance analysis for face recognition algorithms,'' To appear in Proc. IEEE Conf. Computer Vision and Pattern Recognition (CVPR), (Santa Barbara), June 23-25, 1998.

  14. S. A. Rizvi, P. J. Phillips, and H. Moon, ``The FERET verification testing protocol for face recognition algorithms,'' To appear in Proc. Third IEEE International Conference on Automatic Face and Gesture Recognition, (FG'98) (Nara, Japan) April 14-16, 1998.

  15. S. A. Rizvi, {L.-C. Wang, and N. M. Nasrabadi, ``Rate-constrained modular predictive residual vector quantization,'' in Proc. IEEE International Conference on Image Processing, (Santa Barbara), Oct. 26-29, 1997, pp. 102-105.

  16. P. J. Phillips, H. Moon, P. Rauss, and S. A. Rizvi, ``The FERET evaluation methodology for face-recognition algorithms,'' in Proc. IEEE Conf. Computer Vision and Pattern Recognition (CVPR), (Puerto Rico), June 17-19, 1997, pp. 137-143.

  17. L.-C. Wang, S. A. Rizvi, and N. M. Nasrabadi, ``A predictive residual VQ using modular neural network vector predictor,'' Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (Munich, Germany), April 21-24, 1997.

  18. P. J. Phillips, H. Moon, P. Rauss, S. A. Rizvi, ``The FERET September 1996 database and evaluation procedure,'' in Proc. First International Conference on Audio-and Video-based Biometric Person Authentication (Crans-Montana, Switzerland), March 12-14, 1997.

  19. 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 Proc. IS\&T/SPIE Symposium on Electronic Imaging Science and Technology (San Jose), Feb. 9-14, 1997, vol. 3030, pp. 76-87.

  20. S. A. Rizvi, A. Chen, V. Mirelli, N. M. Nasrabadi, L.-C. Wang, S. Der, and M. Hamilton, ``Mixture-of-expert approach to target recognition in FLIR imagery,'' in Proc. Third Workshop on Conventional Weapon ATR: Detection, Classification, Recognition \& identification of Targets in Clutter (Redstone Arsenal, Alabama), November 13-15, 1996, pp. 173-203.

  21. L.-C. Wang, S. A. Rizvi, and N. M. Nasrabadi, ``A modular neural network vector predictor for Predictive VQ,'' Proc. IEEE International Conference on Image Processing, (Lausanne, Switzerland), September 16-19, 1996, pp. 431-434.

  22. E. S. Jang, H. Kwon, L.-C. Wang, S. A. Rizvi, and N. M. Nasrabadi, "Segmentation based wavelet coding of digital images," in Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (Atlanta, Georgia), May 7-10, 1996.

  23. V. Mirelli and S. A. Rizvi, "Automatic target recognition using a multi-layer convolution neural network,'' in Proc. SPIE's Symp. Aerospace/Defense Sensing and Controls (Orlando, Florida), April 8-12, 1996, vol. 2755, pp. 106-125.

  24. Nasser M. Nasrabadi, Joseph Sattler, Heesung Kwon, and S. A. Rizvi, "High compression of SAR imagery for battlefield surveillance,'' in Proc. SPIE's Symp. Aerospace/Defense Sensing and Controls (Orlando, Florida), April 8-12, 1996, vol. 2757, pp. 397-408.

  25. S. A. Rizvi and N. M. Nasrabadi, "Entropy-constrained finite-state residual vector quantization: a new scheme for low bit-rate coding,'' in Proc. SPIE Visual Communications and Image Processing'96 (Orlando, Florida), March 17-20, 1996, vol. 2727, pp. 263-274.

  26. S. A. Rizvi, N. Mohsenian, and N. M. Nasrabadi, ``Color image compression using neural network prediction of color components,'' in Proc. IS\&T/SPIE Symposium on Electronic Imaging Science and Technology (San Jose), Jan. 28 to Feb. 2, 1996, vol. 2664, pp. 37-46.

  27. L.-C. Wang, S. A. Rizvi, and N. M. Nasrabadi, ``An adaptive neural network vector prediction system,'' in Proc. IS\&T/SPIE Symposium on Electronic Imaging Science and Technology (San Jose), Jan. 28 to Feb. 2, 1996, vol. 2664, pp. 2-13.

  28. S. A. Rizvi, N. M. Nasrabadi, and L.-C. Wang, ``Entropy-constrained predictive residual vector quantization of digital images,'' in Proc. IEEE International Conference on Image Processing (Washington D.C.), Oct. 23-26, 1995, pp. 272-275.

  29. S. A. Rizvi, L.-C. Wang, and N. M. Nasrabadi, , ``Neural network vector predictors with applications to image coding,'' in Proc. IEEE International Conference on Image Processing (Washington D.C.), Oct. 23-26, 1995, pp. 296-299.

  30. S. A. Rizvi, L.-C. Wang, and N. M. Nasrabadi, ``Entropy-constrained predictive residual vector quantization,'' in Proc. IS\&T/SPIE Symposium on Electronic Imaging Science and Technology (Philadelphia), Oct. 23-24 1995, vol. 2605, pp. 139-150.

  31. S. A. Rizvi, N. M. Nasrabadi, and L.-C. Wang, "Variable-rate predictive residual vector quantizer," in Proc. SPIE Visual Communications and Image Processing'95 (Taipei, Taiwan), May 23-26, 1995, vol. 2501, pp. 500-511.

  32. S. A. Rizvi, L.-C. Wang, and N. M. Nasrabadi, ``Finite-state residual vector quantization," in Proc. SPIE Visual Communications and Image Processing'95 (Taipei, Taiwan), May 23-26, 1995, vol. 2501, pp. 512-523.

  33. S. A. Rizvi and N. M. Nasrabadi, "Finite state residual vector quantization using tree-structured competitive neural network," in Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (Detroit, Michigan), May 8-12, 1995, pp. 2579-2582.

  34. S. A. Rizvi L.-C. Wang, Q. F. Liao, and N. M. Nasrabadi, "Neural network architectures for vector prediction," in Proc. IS\&T/SPIE Symposium on Electronic Imaging Science and Technology (San Jose), February 5-10 1995, vol. 2424, pp. 422-433.

  35. S. A. Rizvi and N. M. Nasrabadi, "Finite state residual vector quantization with neural network state prediction," in Proc. IS\&T/SPIE Symposium on Electronic Imaging Science and Technology (San Jose), February 5-10 1995, vol. 2424, pp. 448-459.

  36. S. A. Rizvi and N. M. Nasrabadi, ``Predictive residual vector quantization," in Proc. IEEE International Conference on Image Processing (Austin), Nov. 13-16, 1994, vol. 1, pp. 608-612.

  37. S. A. Rizvi and N. M. Nasrabadi, ``Predictive residual vector quantization," in Proc. 12th International Conference on Pattern Recognition (Jerusalem, Israel), Oct. 9-13, 1994, pp. 178-180.

  38. S. A. Rizvi and N. M. Nasrabadi, ``Multistage vector quantization using competitive neural networks," in Proc. SPIE Visual Communications and Image Processing'94 (Chicago), Sep. 25-28, 1994, vol. 2308, pp. 150-164.

  39. S. A. Rizvi and N. M. Nasrabadi, ``Predictive vector quantization using constrained optimization,'' in Proc. IS\&T's 47th Annual Conference (Rochester, New York), May 15-20, 1994, pp. 530-533.

  40. N. M. Nasrabadi and S. A. Rizvi, ``Next-state functions for finite state vector quantization," in Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (Adelaide, Australia), April 19-22 1994, pp. 617-620.

  41. N. M. Nasrabadi, N. Mohsenian, H. T. Mak, and S. A. Rizvi, ``Next-state functions for finite state vector quantization," in Proc. SPIE Visual Communications and Image Processing'93 (Cambridge, Massachusetts), Nov. 1993, pp. 914-928.