Ashutosh Garg

Abhinandan Das, Mayur Datar, Ashutosh Garg, ShyamSundar Rajaram: Google news personalization: scalable online collaborative filtering. WWW 2007: 271-280

David Gondek, Shivakumar Vaithyanathan, Ashutosh Garg: Clustering with Model-level Constraints. SDM 2005

Nuria Oliver, Ashutosh Garg, Eric Horvitz: Layered representations for learning and inferring office activity from multiple sensory channels. Computer Vision and Image Understanding 96(2): 163-180 (2004)

Ashutosh Garg, T. S. Jayram, Shivakumar Vaithyanathan, Huaiyu Zhu: Generalized Opinion Pooling. AMAI 2004

Xiang Sean Zhou, Ashutosh Garg, Thomas S. Huang: A Discussion of Nonlinear Variants of Biased Discriminants for Interactive Image Retrieval. CIVR 2004: 353-364

Ashutosh Garg, T. S. Jayram, Shivakumar Vaithyanathan, Huaiyu Zhu: Generalized Opinion Pooling. ISAIM 2004

Ira Cohen, Nicu Sebe, Ashutosh Garg, Lawrence S. Chen, Thomas S. Huang: Facial expression recognition from video sequences: temporal and static modeling. Computer Vision and Image Understanding 91(1-2): 160-187 (2003)

ShyamSundar Rajaram, Ashutosh Garg, Xiang Sean Zhou, Thomas S. Huang: Classification Approach towards Banking and Sorting Problems. ECML 2003: 301-312

Ashutosh Garg, Gerasimos Potamianos, Chalapathy Neti, Thomas S. Huang: Frame-dependent multi-stream reliability indicators for audio-visual speech recognition. ICME 2003: 605-608

Ashutosh Garg, Dan Roth: Margin Distribution and Learning. ICML 2003: 210-217

Ashutosh Garg, Manfred K. Warmuth: Inline updates for HMMs. INTERSPEECH 2003

Vladimir Pavlovic, Ashutosh Garg, Simon Kasif: A Bayesian framework for combining gene predictions. Bioinformatics 18(1): 19-27 (2002)

Ira Cohen, Nicu Sebe, Ashutosh Garg, Michael S. Lew, Thomas S. Huang: Facial expression recognition from video sequences. ICME (2) 2002: 121-124

Nuria Oliver, Eric Horvitz, Ashutosh Garg: Layered Representations for Human Activity Recognition. ICMI 2002: 3-8

Ashutosh Garg, Sariel Har-Peled, Dan Roth: On generalization bounds, projection profile, and margin distribution. ICML 2002: 171-178

Nuria Oliver, Ashutosh Garg: MMIHMM: Maximum Mutual Information Hidden Markov Models. ICML 2002: 466-473

Nicu Sebe, Michael S. Lew, Ira Cohen, Ashutosh Garg, Thomas S. Huang: Emotion Recognition Using a Cauchy Naive Bayes Classifier. ICPR (1) 2002: 17-

Ashutosh Garg, Shivani Agarwal, Thomas S. Huang: Fusion of Global and Local Information for Object Detection. ICPR (3) 2002: 723-

Ashutosh Garg, Vladimir Pavlovic, Thomas S. Huang: Bayesian Networks as Ensemble of Classifiers. ICPR (2) 2002: 779-784

Ashutosh Garg, Dan Roth: Learning Coherent Concepts. ALT 2001: 135-150

Ashutosh Garg, Dan Roth: Understanding Probabilistic Classifiers. ECML 2001: 179-191

Milind R. Naphade, Ashutosh Garg, Thomas S. Huang: Duration Dependent Input Output Markov Models For Audio-Visual Event Detection. ICME 2001

Vladimir Pavlovic, James M. Rehg, Ashutosh Garg, Thomas S. Huang: Multimodal Speaker Detection Using Error Feedback Dynamic Bayesian Networks. CVPR 2000: 2034-

Ashutosh Garg, Vladimir Pavlovic, James M. Rehg: Audio-Visual Speaker Detection Using Dynamic Bayesian Networks. FG 2000: 384-390

Vladimir Pavlovic, Ashutosh Garg, James M. Rehg: Multimodal Speaker Detection Using Input/Output Dynamic Bayesian Networks. ICMI 2000: 308-316

Ira Cohen, Ashutosh Garg, Thomas S. Huang: Vision-Based Overhead View Person Recognition. ICPR 2000: 5119-5124