Maya R. Gupta

	2012
42		Bela A. Frigyik, Maya R. Gupta: Bounds on the Bayes Error Given Moments. IEEE Transactions on Information Theory 58(6): 3606-3612 (2012)
	2011
41		Luca Cazzanti, Sergey Feldman, Maya R. Gupta, Michael Gabbay: Multi-task Regularization of Generative Similarity Models. SIMBAD 2011: 90-103
40		Bela A. Frigyik, Maya R. Gupta: Bounds on the Maximum Bayes Error Given Moments CoRR abs/1105.2952: (2011)
39		Hyrum S. Anderson, Maya R. Gupta, Eric Swanson, Kevin Jamieson: Channel-Robust Classifiers. IEEE Transactions on Signal Processing 59(4): 1421-1434 (2011)
	2010
38		Kevin Jamieson, Maya R. Gupta, Eric Swanson, Hyrum S. Anderson: Training a support vector machine to classify signals in a real environment given clean training data. ICASSP 2010: 2214-2217
37		Bela A. Frigyik, Maya R. Gupta, Yihua Chen: Shadow Dirichlet for Restricted Probability Modeling. NIPS 2010: 613-621
36		Maya R. Gupta, Yihua Chen: Theory and Use of the EM Algorithm. Foundations and Trends in Signal Processing 4(3): 223-296 (2010)
35		Eric K. Garcia, Sergey Feldman, Maya R. Gupta, Santosh Srivastava: Completely Lazy Learning. IEEE Trans. Knowl. Data Eng. 22(9): 1274-1285 (2010)
	2009
34		Hyrum S. Anderson, Maya R. Gupta: Joint deconvolution and imaging. Computational Imaging 2009: 72460
33		Jill K. Nelson, Jaime E. Almodovar, Maya R. Gupta, William H. Mortensen: Estimating multiple transmitter locations from power measurements at multiple receivers. ICASSP 2009: 2761-2764
32		Marius A. Marin, Sergey Feldman, Mari Ostendorf, Maya R. Gupta: Filtering web text to match target genres. ICASSP 2009: 3705-3708
31		Sergey Feldman, Marius A. Marin, Mari Ostendorf, Maya R. Gupta: Part-of-speech histograms for genre classification of text. ICASSP 2009: 4781-4784
30		Yihua Chen, Maya R. Gupta, Benjamin Recht: Learning kernels from indefinite similarities. ICML 2009: 19
29		Luca Cazzanti, Maya R. Gupta: Regularizing the Local Similarity Discriminant Analysis Classifier. ICMLA 2009: 184-189
28		Megan Hazen, Maya R. Gupta: Gradient estimation in global optimization algorithms. IEEE Congress on Evolutionary Computation 2009: 1841-1848
27		Eric K. Garcia, Maya R. Gupta: Lattice Regression. NIPS 2009: 594-602
26		Yihua Chen, Eric K. Garcia, Maya R. Gupta, Ali Rahimi, Luca Cazzanti: Similarity-based Classification: Concepts and Algorithms. Journal of Machine Learning Research 10: 747-776 (2009)
	2008
25		Nasiha Hrustemovic, Maya R. Gupta: Multiresolutional regularization of local linear regression over adaptive neighborhoods for color management. ICIP 2008: 497-500
24		Deirdre B. O'Brien, Maya R. Gupta, Robert M. Gray: Cost-sensitive multi-class classification from probability estimates. ICML 2008: 712-719
23		Santosh Srivastava, Maya R. Gupta: Bayesian estimation of the entropy of the multivariate Gaussian. ISIT 2008: 1103-1107
22		Bela A. Frigyik, Santosh Srivastava, Maya R. Gupta: Functional Bregman divergence. ISIT 2008: 1681-1685
21		Maya R. Gupta, Eric K. Garcia, E. Chin: Adaptive Local Linear Regression With Application to Printer Color Management. IEEE Transactions on Image Processing 17(6): 936-945 (2008)
20		Bela A. Frigyik, Santosh Srivastava, Maya R. Gupta: Functional Bregman Divergence and Bayesian Estimation of Distributions. IEEE Transactions on Information Theory 54(11): 5130-5139 (2008)
19		Maya R. Gupta, Eric K. Garcia, Andrey Stroilov: Learning custom color transformations with adaptive neighborhoods. J. Electronic Imaging 17(3): 033005 (2008)
18		Luca Cazzanti, Maya R. Gupta, Anjali J. Koppal: Generative models for similarity-based classification. Pattern Recognition 41(7): 2289-2297 (2008)
	2007
17		Jill K. Nelson, Maya R. Gupta: An EM Technique for Multiple Transmitter Localization. CISS 2007: 610-615
16		Erika M. Chin, Eric K. Garcia, Maya R. Gupta: Color Management of Printers by Regression over Enclosing Neighborhoods. ICIP (2) 2007: 161-164
15		Nathaniel P. Jacobson, Maya R. Gupta: SNR-Adaptive Linear Fusion of Hyperspectral Images for Color Display. ICIP (3) 2007: 477-480
14		Luca Cazzanti, Maya R. Gupta: Local similarity discriminant analysis. ICML 2007: 137-144
13		Nathaniel P. Jacobson, Maya R. Gupta, Jeff B. Cole: Linear Fusion of Image Sets for Display. IEEE T. Geoscience and Remote Sensing 45(10): 3277-3288 (2007)
12		Santosh Srivastava, Maya R. Gupta, Bela A. Frigyik: Bayesian Quadratic Discriminant Analysis. Journal of Machine Learning Research 8: 1277-1305 (2007)
11		Maya R. Gupta, Nathaniel P. Jacobson, Eric K. Garcia: OCR binarization and image pre-processing for searching historical documents. Pattern Recognition 40(2): 389-397 (2007)
	2006
10		Maya R. Gupta, Nathaniel P. Jacobson: Wavelet Principal Component Analysis and its Application to Hyperspectral Images. ICIP 2006: 1585-1588
9		Bela A. Frigyik, Santosh Srivastava, Maya R. Gupta: Functional Bregman Divergence and Bayesian Estimation of Distributions CoRR abs/cs/0611123: (2006)
8		Maya R. Gupta, Robert M. Gray, Richard A. Olshen: Nonparametric Supervised Learning by Linear Interpolation with Maximum Entropy. IEEE Trans. Pattern Anal. Mach. Intell. 28(5): 766-781 (2006)
	2005
7		Maya R. Gupta, Andrey Stroilov: Segmenting for Wavelet Compression. DCC 2005: 462
6		Nathaniel P. Jacobson, Maya R. Gupta: Design goals and solutions for display of hyperspectral images. ICIP (2) 2005: 622-625
5		Maya R. Gupta: Custom color enhancements by statistical learning. ICIP (3) 2005: 968-971
4		Nathaniel P. Jacobson, Maya R. Gupta: Design goals and solutions for display of hyperspectral images. IEEE T. Geoscience and Remote Sensing 43(11): 2684-2692 (2005)
	2003
3		Deirdre B. O'Brien, Maya R. Gupta, Robert M. Gray, Jon Kristian Hagene: Analysis and classification of internal pipeline images. ICIP (3) 2003: 577-580
	2001
2		Maya R. Gupta, Robert M. Gray: Color conversions using maximum entropy estimation. ICIP (1) 2001: 118-121
	2000
1		Maya R. Gupta, Michael J. Gormish, David G. Stork: Block Color Quantization: A New Method for Color Halftoning. ICIP 2000

Coauthor Index

1	Jaime E. Almodovar	[33]
2	Hyrum S. Anderson	[34] [38] [39]
3	Luca Cazzanti	[14] [18] [26] [29] [41]
4	Yihua Chen	[26] [30] [36] [37]
5	E. Chin	[21]
6	Erika M. Chin	[16]
7	Jeff B. Cole	[13]
8	Sergey Feldman	[31] [32] [35] [41]
9	Bela A. Frigyik	[9] [12] [20] [22] [37] [40] [42]
10	Michael Gabbay	[41]
11	Eric K. Garcia	[11] [16] [19] [21] [26] [27] [35]
12	Michael J. Gormish	[1]
13	Robert M. Gray	[2] [3] [8] [24]
14	Jon Kristian Hagene	[3]
15	Megan Hazen	[28]
16	Nasiha Hrustemovic	[25]
17	Nathaniel P. Jacobson	[4] [6] [10] [11] [13] [15]
18	Kevin Jamieson	[38] [39]
19	Anjali J. Koppal	[18]
20	Marius A. Marin	[31] [32]
21	William H. Mortensen	[33]
22	Jill K. Nelson	[17] [33]
23	Deirdre B. O'Brien	[3] [24]
24	Richard A. Olshen	[8]
25	Mari Ostendorf	[31] [32]
26	Ali Rahimi	[26]
27	Ben Recht (Benjamin Recht)	[30]
28	Santosh Srivastava	[9] [12] [20] [22] [23] [35]
29	David G. Stork	[1]
30	Andrey Stroilov	[7] [19]
31	Eric Swanson	[38] [39]

Colors in the list of coauthors

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