"Adaptive Local Linear Regression with Application to Printer Color Management," Maya R. Gupta, Eric K. Garcia, and Erika Chin, IEEE Trans. on Image Processing (to appear), 2008.

"An Introduction to Functional Derivatives," Bela Frigyik, Santosh Srivastava, and Maya R. Gupta, UW Dept. of Electrical Engineering Technical Report 2008-0001, 2008.

"Bayesian estimates for differential entropy and relative entropy with Bregman loss," Maya R. Gupta and Santosh Srivastava, (in review), 2008.

"Bayesian estimation of the entropy of the multivariate Gaussian," Santosh Srivastava and Maya R. Gupta, Proc. IEEE Intl. Symp. on Information Theory, 2008.

"Completely Lazy Classifiers: Bayesian Neighborhoods," Eric K. Garcia, Sergey Feldman, Maya R. Gupta, and Santosh Srivastava, in review, 2008. Code

"Cost-sensitive multi-class classification from probability estimates," D. B. OBrien and M. R. Gupta and R. M. Gray, Intl. Conf. Machine Learning (ICML) (to appear), 2008.

"Functional Bregman Divergence," Bela Frigyik, Santosh Srivastaa, and Maya R. Gupta, Proc. IEEE Intl. Symp. on Information Theory, 2008.

"Functional Bregman Divergence and Bayesian Estimation of Distributions," Bela A. Frigyik, Santosh Srivastava, and Maya R. Gupta, Submitted for journal publication, 2008. (Also available from arXiv preprint server at www.arxiv.org. Revised version posted here January 2008.).

"Generative Models for Similarity-based Classification," Luca Cazzanti, Maya R. Gupta, and Anjali Koppal, Pattern Recognition (to appear), 2008.

"Learning custom color transformations with adaptive neighborhoods," Maya R. Gupta, Eric K. Garcia, and Andrey Stroilov, Journal of Electronic Imaging (to appear), 2008. (Experimental Data)

"Multiresolutional Regularization of Local Linear Regression Over Adaptive Neighborhoods for Color Management," N. Hrustemovic and M. R. Gupta, Proc. of the Intl. Conf. on Image Processing , 2008.

"QDA classification of multipath-corrupted observations using uncorrupted training features," Hyrum Anderson and Maya R. Gupta, Proc. Intl. Symp. on Underwater Reverberation and Clutter, 2008.

"Ranked Dither for High-Quality Robust Printing," M. R. Gupta and J. J. Bowen, Journal of the Optical Society of America, A , 2008. Ranked Dither Code

"An EM technique for multiple transmitter localization," Jill K. Nelson and Maya R. Gupta, 41st Conf. on Information Science and Systems, 2007.

"Bayesian Quadratic Discriminant Analysis," Santosh Srivastava, Maya R. Gupta, and Bela Frigyik, Journal of Machine Learning Research, vol. 8, pp. 1287-1314, 2007. Complete Simulation Code

"Beamforming alternatives for multi-channel transient acoustic event classification," Brandon Smith, Les Atlas, and Maya R. Gupta, Proc. of the IEEE ICASSP Conf., 2007.

"CIELab color values of in vivo normal and grasped porcine liver," Smita De, Aylon Dagan, Phil Roan, Jacob Rosen, Mika Sinanan, Maya Gupta, and Blake Hannaford, Proc. of Medicine Meets Virtual Reality (MMVR), 2007.

"Color Management of Printers by Regression over Enclosing Neighborhoods," Erika M. Chin, Eric K. Garcia and Maya R. Gupta , IEEE Intl. Conf. on Image Processing, 2007.

"Gamut Expansion for Video and Image Sets," Hyrum Anderson, Eric K. Garcia, and Maya R. Gupta, Computational Color Imaging Workshop, 2007.

"Joint deconvolution and classification for signals with multipath," Maya R. Gupta, Hyrum S. Anderson, and Yihua Chen, Proc. of the IEEE ICASSP Conf. , 2007.

"Linear Fusion of Image Sets for Display," N. P. Jacobson and M. R. Gupta and J. B. Cole, IEEE Trans. on Geosciences and Remote Sensing , vol. 45, no. 10, 3277-3288, 2007. Code for basis functions, and passive radar videos

"Local Similarity Discriminant Analysis," Luca Cazzanti and Maya R. Gupta, Intl. Conf. Machine Learning (ICML), 2007.

"Maximum Entropy Generative Models for Similarity-based Learning," Maya R. Gupta, Luca Cazzanti and Anjali Koppal, Proc. of the IEEE Intl. Symposium on Information Theory, 2007.

"Maximum likelihood signal classification using second-order blind deconvolution probability model," Maya R. Gupta and Hyrum S. Anderson, Proc. of the IEEE Statistical Signal Processing Workshop, 2007.

"OCR binarization and image pre-processing for searching historical documents," Maya R. Gupta, Nathaniel P. Jacobson, and Eric K. Garcia., Pattern Recognition, vol. 40, no. 2, 389-397, 2007.

"Ranked Dither for Robust Color Printing," Maya R. Gupta and Jayson Bowen, Proc. of IS&T Color Imaging XII: Processing, Hardcopy, and Applications, 2007. Ranked Dither Code

"SNR-adaptive Linear Fusion of Hyperspectral Images for Color Display," Nathaniel P. Jacobson and Maya R. Gupta, IEEE Intl. Conf. on Image Processing, 2007.

"Thesis: Bayesian Minimum Expected Risk Estimation of Distributions for Statistical Learning," Santosh Srivastava, Univ. of Washington PhD Thesis, 2007.

"Thesis: Generative Models for Similarity-based Classification," Luca Cazzanti, Univ. of Washington PhD Thesis, 2007.

"A Measure Theory Tutorial (Measure Theory for Dummies)," Maya R. Gupta, UW EE Technical Report Series 2006-0008, 2006.

"A multiresolutional estimated gradient architecture for global optimization," Megan Hazen and Maya R. Gupta, Congress on Evolutionary Computing , 2006.

"Distribution-based Bayesian minimum expected risk parametric classification," Santosh Srivastava and Maya R. Gupta, Proc of the IEEE Intl. Symposium on Information Theory, 2006.

"Global Optimization for Multiple Transmitter Localization," J. K. Nelson, M. U. Hazen and M. R. Gupta, MILCOM, 2006.

"Information-theoretic and set-theoretic similarity," Luca Cazzanti and Maya R. Gupta, Proc. of the IEEE Intl. Symposium on Information Theory, 2006.

"Minimum Expected Risk Estimation for Near-neighbor Classification," Maya R. Gupta, S. Srivastava and L. Cazzanti, Univ. of Washington Dept. of Electrical Engineering Technical Report 2006-0006, 2006.

"Nonparametric supervised learning by linear interpolation with maximum entropy," Maya R. Gupta, Robert M. Gray, and Richard A. Olshen, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 28, no. 5, pp. 766-781, 2006. LIME Code

"On minimizing distortion and relative entropy," Michael P. Friedlander and Maya R. Gupta, IEEE Trans. on Information Theory, vol. 52, no. 1, pp. 238-245, 2006.

"Reverse Engineering the Sound of Jazz," L. Cazzanti, V. Hasbrook, M. R. Gupta, UW EE Technical Report Series 2006-0011, 2006. Hasbrook Doctoral Thesis

"Wavelet principal component analysis and its application to hyperspectral imagery," Maya R. Gupta and Nathaniel P. Jacobson, IEEE Intl. Conf. on Image Processing , 2006.

"Custom Color Enhancements by Statistical Learning," Maya R. Gupta, Proceedings of the IEEE Intl. Conf. on Image Processing, pp. 968-971, 2005.

"Design goals and solutions for display of hyperspectral images," Jacobson N.P. and Gupta M.R., IEEE Transactions on Geoscience and Remote Sensing, vol. 43, no. 11, pp. 2684-2692, 2005. AVIRIS image rendering code

"Display of Hyperspectral Imagery by Spectral Weighting Envelopes," Nathaniel P. Jacobson and Maya R. Gupta, Proceedings of the IEEE Intl. Conf. on Image Processing, pp. 622-625, 2005.

"Minimum expected risk probability estimates for nonparametric neighborhood classifiers," Maya R. Gupta, Luca Cazzanti, and Santosh Srivastava, Proceedings of the IEEE Workshop on Statistical Signal Processing, 2005.

"Quality assessment of low free-energy protein structure predictions," Luca Cazzanti, Maya Gupta, Lars Malmstrom, and David Baker, Proceedings of the IEEE Workshop on Machine Learning for Signal Processing, 375-380, 2005.

"Segmenting for wavelet compression," Maya R. Gupta and Andrey Stroilov, Proceedings of the Data Compression Conference, p. 462, 2005.

"Simulating the effect of illumination using color transformations," Maya R. Gupta, Steve Upton, and Jayson Bowen, Proceedings of the SPIE Conference on Computational Imaging III, vol. 5674, pp. 248-258, 2005.

"A Principle of Minimum Expected Risk," Maya R. Gupta, Proceedings of the 2004 IEEE International Symposium on Information Theory, p. 167, 2004.

"Inverting color transforms," Maya R. Gupta, Proceedings of the SPIE Electronic Imaging Conference on Computational Imaging II, vol. 5299, pp. 83-93, 2004.

"An information theory approach to supervised learning," Maya R. Gupta, Ph.D. thesis (Dept. of Electrical Engineering, Stanford), 2003.

"Analysis and classification of internal pipeline images," Deirdre O'Brien, Maya Gupta, Robert M. Gray, and Jon Kristian Hagene, Proceedings of the International Conference on Image Processing, pp. 577-580, 2003.

"Automatic classification of images from internal optical inspection of gas pipelines," Deirdre O'Brien, Maya Gupta, Robert M. Gray, and Jon Kristian Hagene, Proceedings of the International Chemical and Petroleum Industry Inspection Technology VIII Conference, 2003.

"Halftoning on the wavelet domain," Maya R. Gupta, Proceedings of the SPIE Electronic Imaging Conference, vol. 5008, pp. 431-442, 2003.

"Reducing bias in supervised learning," Maya R. Gupta and Robert M. Gray, Proceedings of the IEEE Workshop on Statistical Signal Processing, pp. 482-485, 2003.

"A two-stage color palettization algorithm for error diffusion," Niloy Mitra and Maya Gupta, Proceedings of the SPIE Electronic Imaging Conference, vol. 4662, pp. 207-217, 2002.

"Color conversions using maximum entropy estimation," Maya Gupta and Robert M. Gray, Proceedings of the International Conference on Image Processing, pp. 118-121, 2001.

"Robust speech recognition using wavelet coefficient features," Maya Gupta and Anna Gilbert, Proceedings of the IEEE Workshop on Automatic Speech Recognition and Understanding, 2001.

"Vector color filter array demosaicing," Maya Gupta and Ting Chen, Proceedings of the SPIE Electronic Imaging Conference, vol. 4306, pp. 374-382, 2001.

"Block color quantization: a new method for halftoning," Maya Gupta, Michael Gormish, and David Stork, Proceedings of the International Conference on Image Processing, 2000.

"Maximum entropy classification for speech," Maya Gupta, Michael Friedlander, and Robert M. Gray, Proceedings of the Asilomar Conference on Systems and Signals, 2000.

"Nonlinear vector multiresolutional analysis," Maya Gupta and Anna Gilbert, Proceedings of the Asilomar Conference on Systems and Signals, 2000.

"Imaging with THz," M. R. Gupta, D. M. Mittleman, and R. G. Baraniuk, Proc. of the 2nd US-Japan Symposium on Non-Destructive Evaluation, pp. 1-6, 1999.

"Recent advances in terahertz imaging," D. M. Mittleman, M. Gupta, R. Neelamani, R. G. Baraniuk, J. V. Rudd, and M. Koch, Applied Physics B, vol. 68, pp. 1085-1094, 1999.

"Recent advances in imaging and spectroscopy with T-Rays," Mittleman, D., Neelamani, R., Gupta, M., Baraniuk, R., Nuss, M.C., Proceedings of the International Conference on LASERS, pp. 7-11, 1998.