Pattern Recognition, Regression, Optimization

Signal Compression Laboratory Publications

[2009][2008][2007][2006][2005] [2003][2002] [2001][2000] [1999] [1998] [1997] [1996] [1995] [1994] [1993] [1992] [1991] [1990]

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2009
B09.1	S. Ramaswamy and K. Rose, "Towards optimal indexing for relevance feedback in large image databases", provisionally accepted for publication in IEEE Trans. Image Processing
B09.2	S. Ramaswamy and K. Rose,  "Adaptive cluster distance bounding for high-dimensional indexing", in submission  to IEEE Trans. Knowledge and Data Engineering
2008
F08.1	M. E. Sargin, A. Altinok, K. Rose, B. S. Manjunath, "Deformable trellis: open contour tracking in bio-image sequences" IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), April  2008.
F08.2	M. E. Sargin, A. Altinok, K. Rose, B. S. Manjunath, "Conditional iterative decoding of two-dimensional hidden Markov models," IEEE International Conference on Image Processing, Oct.  2008.
2007
F07.1	M. E. Sargin, A. Altinok, E.Kiris, S.C. Feinstein, L.Wilson, K. Rose, B. S. Manjunath, "Tracing microtubules in live cell images," IEEE International Symposium on Biomedical Engineering, April 2007.
F07.2	M. E. Sargin, A. Altinok, K. Rose, B. S. Manjunath, "Tracing curvilinear structures in live cell images," IEEE International Conference on Image Processing, Sept.  2007.
F07.3	A. Altinok, E. Kiris, A. J. Peck, S. Feinestein, L. Wilson, B. S. Manjunath, K. Rose, "Model based dynamics analysis in live cell microtubule images" in submission to BMC Cell Biology.
F07.4	S. Ramaswamy and K. Rose, "Adaptive Cluster-Distance Bounding for Nearest Neighbor Search in Image Databases", Proc. IEEE International Conference on Image Processing,  September 2007.
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2006
F06.1	A. Altinok, A. Peck and K. Rose, "Computational Methods for Analyzing Patterns in Dynamic," Biological Phenomena: An Application to Microtube Dynamics, 2006.
F06.2	M. El-Saban, A. Altinok, A. Peck, C. Kenney, S. Feinstein, L. Wilson, K. Rose and B.S. Manjunath, "Automated Tracking and Modeling of Microtube Dynamics," Proc. IEEE International Symposium on Biomedical Imaging (ISBI), 2006.
F06.3	A. Altinok, M. El-Saban, A. Peck, L. Wilson, S. Feinstein, B.S. Manjunath and K. Rose, "Activity Recognition in Microtube Videos by Mixture of Hidden Markov Models," Proc. International Conference on Computer Vision and Pattern Recognition (CVPR), 2006.
F06.4	A. Altinok, M. El-Saban, A. Peck, L. Wilson, S. Feinstein, B.S. Manjunath and K. Rose, "Model based dynamics analysis in microtubule videos," Proc. Workshop on Multiscale Biological Imaging Data Mining and Informatics, vol. 1, pp. 19-20, September 2006.
F06.5	A. Altinok, E. Kiris, B. S. Manjunath, L. Wilson, S. C. Feinstein and K. Rose, "Automated microtubulue tracking and analysis," American Society for Cell Biology (ASCB) Annual Meeting, December 2006 (Conference Abstract) .
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2005
B05.1	F. Perronin, J.-L. Dugelay, K. Rose, "A Probabilistic Model for Face Transformation with Application to Person Recognition," IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 27, Issue 7, pp 1157-1171, July 2005.
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2003
B03.1	F. Perronnin, J.-L. Dugelay, K. Rose, "Iterative Decoding of Two-dimensional Hidden Markov Models," IEEE ICASSP, vol. 3, pp 329-332,  April 2003.
B03.2	F. Perronnin, J.-L. Dugelay, K. Rose, "Deformable Face Mapping for Person Identification," IEEE ICIP, vol. 2, pp 661-664, September 2003. (Best Student Paper Award)
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2002
B02.1	L. Gu and K. Rose, " Sub-State Tying with Combined Parameter Training and Reduction in Tied-Mixture HMM Design," IEEE Transactions on Speech and Audio Processing, vol.10, (no.3), IEEE, March 2002. p.137-45.
B02.2	E. Tuncel and K. Rose, “Towards Optimal Clustering for Approximate Similarity Searching,” IEEE International Conference on Multimedia and Expo, Lausanne, Switzerland, August 2002.
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2001
B01.1	A. Rao and K. Rose, " Deterministically annealed design of hidden Markov model speech recognizers," IEEE Trans. on Speech and Audio Processing, vol. 9, (no. 2), Feb. 2001.
B01.2	L. Gu and K. Rose, "Perceptual Harmonic Cepstral Coefficients for Speech Recognition in Noisy Environment," Proc. ICASSP 2001, Salt Lake City, Utah, May 2001.
B01.3	L. Gu and K. Rose, " Split-band Perceptual Cepstral Coefficients as Acoustic Features for Speech Recognition," Proc. EUROSPEECH 2001, Aalborg, Denmark, September 2001. (Best Student Paper Award)
B01.4	K. Rose, " Deterministic Annealing for Clustering, Compression, Classification, Regression, and Speech Recognition," in Intelligent Signal Processing, S. Haykin and B. Kosko (Ed.), Chapter 5, pp 163-229, IEEE Press, 2001.
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2000
B00.1	M. Vissac, J.-L. Dugelay and K. Rose, "A fractals-inspired approach to binary image database indexing and retrieval, " Annales des Telecommunications, vol. 55, (no. 3-4) , pp. 194-200, March-April 2000
B00.2	L. Gu and K. Rose, "Sub-state tying in tied mixture hidden Markov models, " IEEE ICASSP'2000, Istanbul, Turkey, June 2000.
B00.3	L. Gu, J. Nayak and K. Rose, " Discriminative training of Tied-Mixture HMM by Deterministic Annealing," ICSLP 2000, Beijing, China, October 2000.
B00.4	L. Gu and K. Rose, " Perceptual Harmonic Cepstral Coefficients as the Front-end for Speech Recognition," ICSLP 2000, Beijing, China, October 2000.
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1999
B99.1	A. Rao, D. Miller, K. Rose and A. Gersho, "A Deterministic Annealing Approach for Parsimonious Design of Piecewise Regression Models,'' IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 21, no. 2, pp. 159-173, February 1999.
B99.2	E. Tuncel and K. Rose, "Nearest Prototype Classifier Design by Deterministic Annealing with Random Class Labels," IEEE Workshop on NeuralNetworks in Signal Processing, September 1999.
B99.3	C. Gelin-Huet, K. Rose and A. Rao, "The Deterministic Annealing Approach for Discriminative Continuous HMM Design," Eurospeech, September 1999.
B99.4	M. Vissac, J.-L. Dugelay and K. Rose, "A Novel Indexing Approach for Multimedia Image Databases", IEEE Workshop on Multimedia Signal Processing, September 1999.
B99.5	M. Vissac, J.-L. Dugelay and K. Rose, "A Fractals-Inspired Approach to Content-based Image Indexing", IEEE International Conference on Image Processing, October 1999.
B99.6	L. Gu and K. Rose, "Combined parameter training and reduction in tied-mixture HMM design," IEEE Workshop on Automatic Speech Recognition and Understanding, Keystone, USA, 1999.
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1998
B98.1	A. Rao, K. Rose and A. Gersho, "Deterministically Annealed Design of Speech Recognizers and Its Performance on Isolated Letters," IEEE International Conference on Acoustics, Speech, and Signal Processing, May 1998.
B98.2	K. Rose, "Deterministic Annealing for Clustering, Compression, Classification, Regression, and Related Optimization Problems," Proceedings of the IEEE, vol. 80, pp. 2210-2239, November 1998.
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1997
B97.1	A. Rao, D. Miller, K. Rose and A. Gersho, "Deterministically Annealed Mixture of Experts Models for Statistical Regression," IEEE Int. conf. on Acoustics, Speech and Signal Processing, Proc. Munich pp.3201-3204, 1997.
B97.2	A.V. Rao, K. Rose, and A. Gersho, "A Deterministic Annealing Approach to Discriminative Hidden Markov Model Design," IEEE Workshop on Neural Networks and Signal Processing, pp. 266-275 Sept. 1997.
B97.3	A. Rao, D. Miller, K. Rose and A. Gersho, "Mixture of Experts Regression Modeling by Deterministic Annealing," IEEE Transactions on Signal Processing, Vol. 45, No. 11, pp. 2811-2820, Nov. 1997.
B97.4	A. Rao, K. Rose and A. Gersho, "Design of Robust HMM Speech Recognizers Using Deterministic Annealing," Proc. Automatic Speech Recognition and Understanding Workshop, Santa Barbara, CA, Dec. pp. 466-473, 1997.
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1996
B96.1	D. Miller and K. Rose, "Tree-Structured Clustering Via the Minimum Cross-Entropy Principle," gtMaximum Entropy and Bayesian Methods, G. R. Heidbreder, Kluwer Academic, 1996.
B96.2	D. Miller and K. Rose, "Hierarchical, Unsupervised Learning with Growing Via Phase Transitions," Neural Computation, vol. 8, no. 2, pp. 427-452, February 1996.
B96.3	A. Rao, D. Miller, K. Rose, and A. Gersho, "A Generalized VQ Method for Combined Compression and Estimation," IEEE International Conference on Acoustics Speech and Signal Processing, ICASSP'96, Atlanta, May 1996.
B96.4	D. Miller, A. Rao, K. Rose, and A. Gersho, "A Global Optimization Technique for Statistical Classifier Design," IEEE Transactions on Signal Processing, vol. 44, no. 12, pp. 3108-3122, December 1996.
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1995
B95.1	D. Miller, A. Rao, K. Rose and A. Gersho, "An Information-Theoretic Approach to Optimal Design of Statistical Classifiers," Classification Society of North America, Annual Meeting, Denver, June 1995.
B95.2	A. Rao, D. Miller, K. Rose, and A. Gersho, "An Information-Theoretic Approach for Statistical Regression with Model Growth by Bifurcations," 27th Annual Symposium on the Interface of Computer Science and Statistics, Interface'95, Pittsburgh, June 1995.
B95.3	D. Miller, A. Rao, K. Rose, and A. Gersho, "An Information Theoretic Framework for Optimization with Application to Supervised Learning," IEEE International Symposium on InformationTheory, Whistler B.C., Canada, September 1995.
B95.4	D. Miller, A. Rao, K. Rose, and A. Gersho, "A Maximum Entropy Approach for Optimal Statistical Classification," IEEE Workshop on Neural Networks in Signal Processing, Boston, September 1995.
B95.5	D. Miller, A. Rao, K. Rose, and A. Gersho, "An Information Theoretic Learning Algorithm for Neural Network Classification," Neural Information Processing Systems, NIPS'95, Denver, November 1995.
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1994
B94.1	D. Miller and K. Rose, "A Non-Greedy Approach to Tree-Structured Clustering," Pattern Recognition Letters, vol. 15, pp. 683-690, July 1994.
B94.2	D. Miller, K. Rose and P.A. Chou, "Deterministic Annealing for Trellis Quantizer and HMM Design Using Baum-Welch Re-Estimation," IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP'94, Adelaide Australia, April 1994.
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1993
B93.1	K. Rose, "Data Compression and Clustering by Deterministic Annealing," 25th Annual symposium on the Interface of Computer Science and Statistics, Interface'93, San Diego, April 1993 (invited).
B93.2	D. Miller and K. Rose, "An Improved Tree-Structured Vector Quantizer," IEEE International Symposium on Information Theory ISIT'93, San Antonio, January 1993.
B93.3	D. Miller and K. Rose, "Tree-Structured Clustering via the Minimum Cross-Entropy Principle," 1993 International Workshop on Maximum Entropy (MaxEnt)'93, Santa Barbara, August 1993.
B93.4	K. Rose, E. Gurewitz and G.C. Fox, "Constrained Clustering as an Optimization Method," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 15, no. 8, pp. 785-794, August 1993.
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1992
B92.1	Ken Zeger, Jacques Vaisey and A. Gersho, "Globally Optimal Vector Quantizer Design by Stochastic Relaxa- tion," IEEE Trans. Signal Processing, vol. 40, no.2, pp. 310-322, February 1992.
B92.2	Eyal Yair, Kenneth Zeger, & A. Gersho, "Competitive Learning and Soft Competition for Vector Quantizer Design," IEEE Trans. Signal Processing, vol. 40, no. 2, pp. 294-309, February 1992.
B92.3	Eyal Yair and A. Gersho, "Maximum A Posteriori Decision and Evaluation of Class Probabilities by Boltzmann Perceptron Classifiers," (reprint of 1990 paper) in NEURAL NETWORKS: Theoretical Foundations & Analysis Neural Networks: Theoretical Foundations & Analysis, Clifford Lau, editor, IEEE Press, New York, 1992, pp. 89-297.
B92.4	K. Rose and D. Miller, "Constrained Clustering for Data Assignment Problems with Examples of Module Placement," IEEE International Symposium on Circuits and Systems ISCAS'92, San Diego, May 1992.
B92.5	K. Rose and D. Miller, "Hierarchical Clustering Using Deterministic Annealing," International Joint Conference on Neural Networks IJCNN '92, Baltimore, June 1992.
B92.6	K. Rose, E. Gurewitz and G.C. Fox, "Vector Quantization by Deterministic Annealing," IEEE Transactions on Information Theory, vol. 38, no. 4, pp. 1249- 1257, July 1992.
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1991
B91.1	Eyal Yair and A. Gersho, "Decision Making and Pattern Classification by Stochastic and Deterministic Neural Networks," in Neural Networks: Concepts, Application and Implementations, vol. III, P. Antognetti and V. Milutinovic, editors, Prentice-Hall, Englewood Cliffs, N.J. 1991.
B91.2	K. Rose, E. Gurewitz and G.C. Fox, "A Deterministic Annealing Approach to Constrained Clustering," IEEE International Symposium on Information Theory ISIT'91, Budapest, June 1991.
B91.3	K. Rose, E. Gurewitz and G.C. Fox, "Deterministic Annealing, Constrained Clustering, and Optimization," IEEE International Joint Conference on Neural Networks, IJCNN'91, Singapore, November 1991.
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1990
B90.1	Eyal Yair and A. Gersho, "The Boltzmann Perceptron Network: A Soft Classifier," Journal of Neural Networks, pp. 203-221, March 1990.
B90.2	Eyal Yair and A. Gersho, "Maximum A Posteriori Decision and Evaluation of Class Probabilities by Boltzmann Perceptron Classifiers," Proc. IEEE, Special Issue on Neural Networks, vol. 78, No. 8, October 1990, pp. 1620-1628.
B90.3	K. Rose, E. Gurewitz and G.C. Fox, "A Nonconvex Cost Optimization Approach to Tracking Multiple Targets," IEEE International Workshop on Robots and Intelligent Systems IROS'90, Tsuchiura Ibaraki, Japan, July 1990.
B90.4	K. Rose, E. Gurewitz and G.C. Fox, "Statistical Mechanics and Phase Transitions in Clustering," Physical Review Letters, vol. 65, no. 8 pp. 945-948, August 1990.
B90.5	K. Rose, E. Gurewitz and G.C. Fox, "A Deterministic Annealing Approach to Clustering," Pattern Recognition Letters, vol. 11, no.9, pp. 589-594, September 1990.
B90.6	Allen Gersho and V. Cuperman, "Vector Quantization: A Pattern Matching Technique for Speech Coding," in Vector Quantization, H. Abut, Editor; IEEE Press, New York, N.Y., 1990 (reprint of 1983 paper).

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