- IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, VOL. 45, NO. 10, OCTOBER 2007 3277 Linear Fusion of Image Sets for Display
- PART-OF-SPEECH HISTOGRAMS FOR GENRE CLASSIFICATION OF TEXT S. Feldman, M. A. Marin, M. Ostendorf, and M. R. Gupta
- Shadow Dirichlet for Restricted Probability Modeling Bela A. Frigyik, Maya R. Gupta, and Yihua Chen
- BAYESIAN TRANSFER LEARNING FOR NOISY CHANNELS Nathan Parrish, Maya R. Gupta
- 936 IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 17, NO. 6, JUNE 2008 Adaptive Local Linear Regression With Application
- Minimum Expected Risk Estimation for Near-neighbor Classification
- Clustering by Left-Stochastic Matrix Factorization Raman Arora rmnarora@u.washington.edu
- Clutter Rejection by Clustering Likelihood-Based Similarities
- Estimation of Position from Multistatic Doppler Measurements Evan Hanusa
- Optimized Construction of ICC Profiles by Lattice Regression Eric Garcia, Maya Gupta; Dept. of Electrical Engineering, University of Washington; Seattle, WA
- Foundations and Trends R Signal Processing
- A Quasi EM Method for Estimating Multiple Transmitter Locations
- CLASSIFYING LINEAR SYSTEM OUTPUTS BY ROBUST LOCAL BAYESIAN QUADRATIC DISCRIMINANT ANALYSIS ON LINEAR ESTIMATORS
- FILTERING WEB TEXT TO MATCH TARGET GENRES M. A. Marin, S. Feldman, M. Ostendorf and M. Gupta
- Fusing Similarities and Euclidean Features with Generative Classifiers
- Gradient Estimation in Global Optimization Algorithms Megan Hazen, Member, IEEE and Maya R. Gupta, Member, IEEE
- Joint Deconvolution and Imaging Hyrum S. Andersona and Maya R. Guptab
- Learning Kernels from Indefinite Similarities Yihua Chen yhchen@ee.washington.edu
- Journal of Machine Learning Research 10 (2009) 747-776 Submitted 9/08; Revised 2/09; Published 3/09 Similarity-based Classification: Concepts and Algorithms
- An Introduction to Functional Derivatives Bela A. Frigyik, Santosh Srivastava, Maya R. Gupta
- Joint deconvolution and classification with applications to passive acoustic underwater multipath
- Journal of Machine Learning Research 8 (2007) 1277-1305 Submitted 6/06; Revised 1/07; Published 6/07 Bayesian Quadratic Discriminant Analysis
- Gamut Expansion for Video and Image Sets Hyrum Anderson, Eric K. Garcia and Maya R. Gupta
- Local Similarity Discriminant Analysis Luca Cazzanti luca@apl.washington.edu
- Maximum Entropy Generative Models for Similarity-based Learning
- MAXIMUM LIKELIHOOD SIGNAL CLASSIFICATION USING SECOND-ORDER BLIND DECONVOLUTION PROBABILITY MODEL
- SNR-ADAPTIVE LINEAR FUSION OF HYPERSPECTRAL IMAGES FOR COLOR DISPLAY Nathaniel P. Jacobson and Maya R. Gupta
- Generative Models for Similarity-based Classification Luca Cazzanti
- A Multiresolutional Estimated Gradient Architecture for Global Optimization
- Global Optimization for Multiple Transmitter Localization
- Information-theoretic and Set-theoretic Similarity Luca Cazzanti
- DISPLAY OF HYPERSPECTRAL IMAGERY BY SPECTRAL WEIGHTING ENVELOPES Nathaniel P. Jacobson and Maya R. Gupta
- A Principle of Minimum Expected Risk Maya R. Gupta 1
- Inverting color transforms Maya R. Gupta
- AN INFORMATION THEORY APPROACH TO SUPERVISED LEARNING
- ANALYSIS AND CLASSIFICATION OF INTERNAL PIPELINE IMAGES Deirdre O'Brien, Maya Gupta, Robert M. Gray
- BLOCK COLOR QUANTIZATION: A NEW METHOD FOR COLOR HALFTONING
- A Century of Innovators The Centennial History of
- University of Washington Graduate School Petition for On-Leave Status
- Professional Programs Schedule Autumn 2010 -Spring 2011
- UW EDUCATIONAL OUTREACH (UWEO) PAYMENT AGREEMENT
- Spring 2011 Chair's Message 2
- Improving Target Tracking Performance by Incorporating Classification Information
- Pattern Recognition 41 (2008) 22892297 www.elsevier.com/locate/pr
- Reverse engineering the sound of the jazz saxophone Luca Cazzanti, Vanessa Sielert, and Maya R. Gupta
- MILCOM2004-2004 IEEE MilitaryCommunications Conference FEATIJNC-BASED MODULATION CLASSIFICATION USING CIRCULAR STATISTICS
- Learning custom color transformations with adaptive neighborhoods
- Strategies for Similarity-based Learning A dissertation submitted in partial fulfillment
- Foundations and Trends R Vol. xx, No xx (xxxx) 173
- QUALITY ASSESSMENT OF LOW FREE-ENERGY PROTEIN STRUCTURE PREDICTIONS Luca Cazzanti, Maya Gupta
- Two-stage color palettization for error di usion Niloy J. Mitra and Maya R. Gupta
- Approval for Undergraduate Research and Special Projects
- Introduction to the Dirichlet Distribution and Related Bela A. Frigyik, Amol Kapila, and Maya R. Gupta
- 2684 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, VOL. 43, NO. 11, NOVEMBER 2005 Design Goals and Solutions for Display
- WAVELET PRINCIPAL COMPONENT ANALYSIS AND ITS APPLICATION TO HYPERSPECTRAL IMAGES
- MINIMUM EXPECTED RISK PROBABILITY ESTIMATES FOR NONPARAMETRIC NEIGHBORHOOD CLASSIFIERS
- COLOR MANAGEMENT OF PRINTERS BY REGRESSION OVER ENCLOSING NEIGHBORHOODS
- Joint Deconvolution and Classification: Classifiers for Dataset Shift Induced by Linear Systems
- Entropy 2010, 12, 1-x; doi:10.3390/----OPEN ACCESS
- Distribution-based Bayesian Minimum Expected Risk for Discriminant Analysis
- Nonparametric Supervised Learning by Linear Interpolation with Maximum Entropy
- Vector Color Filter Array Demosaicing Maya R. Gupta and Ting Chen
- COLOR CONVERSIONS USING MAXIMUM ENTROPY ESTIMATION Maya R. Gupta and Robert M. Gray
- Ranked Dither for Robust Color Printing Maya R. Gupta and Jayson Bowen
- CUSTOM COLOR ENHANCEMENTS BY STATISTICAL LEARNING Maya R. Gupta
- MULTIRESOLUTIONAL REGULARIZATION OF LOCAL LINEAR REGRESSION OVER ADAPTIVE NEIGHBORHOODS FOR COLOR MANAGEMENT
- Minimizing Bearing Bias in Tracking By De-coupled Rotation and Translation Estimates
- How to Analyze Paired Comparison Data Kristi Tsukida and Maya R. Gupta
- ROBUST SPEECH RECOGNITION USING WAVELET COEFFICIENT FEATURES Department of Electrical Engineering
- Bayesian and Pairwise Local Similarity Discriminant Analysis
- TRAINING A SUPPORT VECTOR MACHINE TO CLASSIFY SIGNALS IN A REAL ENVIRONMENT GIVEN CLEAN TRAINING DATA
- Regression Strategies for Low-Dimensional Problems with Application to Color Management
- Lattice Regression Eric Garcia
- Using Speech Technology to Enhance Isotope ID and Classification
- JOINT DECONVOLUTION AND CLASSIFICATION FOR SIGNALS WITH MULTIPATH Maya R. Gupta, Hyrum S. Anderson, and Yihua Chen
- COSINE -A CORPUS OF MULTI-PARTY CONVERSATIONAL SPEECH IN NOISY ENVIRONMENTS
- Bayesian Estimation of the Entropy of the Multivariate Gaussian
- Fusing Similarities and Euclidean Features with Generative Classifiers
- Fusing Similarities and Kernels for Classification Yihua Chen and Maya R. Gupta
- A Measure Theory Tutorial (Measure Theory for Dummies) Maya R. Gupta
- An EM Technique for Multiple Transmitter Localization
- Functional Bregman Divergence Bela A. Frigyik
- Regularizing the Local Similarity Discriminant Analysis Classifier
- ESTIMATING MULTIPLE TRANSMITTER LOCATIONS FROM POWER MEASUREMENTS AT MULTIPLE RECEIVERS
- Journal of Machine Learning Research 10 (2009) 747-776 Submitted 9/08; Revised 2/09; Published 3/09 Similarity-based Classification: Concepts and Algorithms
- Search Strategies for Global Optimization Megan Hazen
- EXPECTED KERNEL FOR MISSING FEATURES IN SUPPORT VECTOR MACHINES Hyrum S. Anderson
- PERSONAL INFORMATION Course Information on Back
- c Copyright 2007 Santosh Srivastava
- Simulating the Effect of Illumination Using Color Transformations
- SPECIAL SESSION Learning from pairwise relationships: non-metric proximities,
- Building Accurate and Smooth ICC Profiles by Lattice Regression
- Cost-sensitive Multi-class Classification from Probability Estimates Deirdre B. O'Brien deirdre@google.com
- ALTO SAXOPHONE MOUTHPIECE PITCH AND ITS RELATION TO JAZZ AND CLASSICAL TONE QUALITIES
- Imaging with THz Radiation Maya Gupta Daniel Mittleman and Richard Baraniuk
- Underwater Acoustic Single-and Multi-User Differential Frequency Hopping Communications
- 5130 IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 54, NO. 11, NOVEMBER 2008 Functional Bregman Divergence and Bayesian
- Nonlinear vector multiresolution analysis Department of Electrical Engineering
- DEPARTMENT OF ELECTRICAL ENGINEERING University of Washington
- Weighted Nearest Neighbor Learning and First-order Error Maya R. Gupta and William H. Mortensen
- ROBUST CLASSIFICATION OF SIGNAL ESTIMATES GIVEN A CHANNEL MODEL Nathan Parrish, Maya R. Gupta
- Completely Lazy Learning E. K. Garcia, S. Feldman, M. R. Gupta, and S. Srivastava
- Improving Contact Classification by Incorporating an Estimate of Aspect from Track State
- Video Data and Sonar Data: Real World Data Fusion Example
- Filtering tandem mass spectra for quality Sergey Feldman, Barbara Frewen, Michael J. MacCoss, and Maya R. Gupta
- Subjective evaluations of example-based, total variation, and joint regularization for image processing
