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Ashutosh Garg

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2007
22EEAbhinandan Das, Mayur Datar, Ashutosh Garg, ShyamSundar Rajaram: Google news personalization: scalable online collaborative filtering. WWW 2007: 271-280
2005
21 David Gondek, Shivakumar Vaithyanathan, Ashutosh Garg: Clustering with Model-level Constraints. SDM 2005
2004
20EEAshutosh Garg, T. S. Jayram, Shivakumar Vaithyanathan, Huaiyu Zhu: Generalized Opinion Pooling. AMAI 2004
19EEXiang Sean Zhou, Ashutosh Garg, Thomas S. Huang: A Discussion of Nonlinear Variants of Biased Discriminants for Interactive Image Retrieval. CIVR 2004: 353-364
18EENuria 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)
2003
17EEShyamSundar Rajaram, Ashutosh Garg, Xiang Sean Zhou, Thomas S. Huang: Classification Approach towards Banking and Sorting Problems. ECML 2003: 301-312
16 Ashutosh Garg, Dan Roth: Margin Distribution and Learning. ICML 2003: 210-217
15EEIra 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)
2002
14EENuria Oliver, Eric Horvitz, Ashutosh Garg: Layered Representations for Human Activity Recognition. ICMI 2002: 3-8
13 Ashutosh Garg, Sariel Har-Peled, Dan Roth: On generalization bounds, projection profile, and margin distribution. ICML 2002: 171-178
12 Nuria Oliver, Ashutosh Garg: MMIHMM: Maximum Mutual Information Hidden Markov Models. ICML 2002: 466-473
11EENicu Sebe, Michael S. Lew, Ira Cohen, Ashutosh Garg, Thomas S. Huang: Emotion Recognition Using a Cauchy Naive Bayes Classifier. ICPR (1) 2002: 17-
10EEAshutosh Garg, Vladimir Pavlovic, Thomas S. Huang: Bayesian Networks as Ensemble of Classifiers. ICPR (2) 2002: 779-784
9EEAshutosh Garg, Shivani Agarwal, Thomas S. Huang: Fusion of Global and Local Information for Object Detection. ICPR (3) 2002: 723-
8 Vladimir Pavlovic, Ashutosh Garg, Simon Kasif: A Bayesian framework for combining gene predictions. Bioinformatics 18(1): 19-27 (2002)
2001
7EEAshutosh Garg, Dan Roth: Learning Coherent Concepts. ALT 2001: 135-150
6EEAshutosh Garg, Dan Roth: Understanding Probabilistic Classifiers. ECML 2001: 179-191
5EEMilind R. Naphade, Ashutosh Garg, Thomas S. Huang: Duration Dependent Input Output Markov Models For Audio-Visual Event Detection. ICME 2001
2000
4EEVladimir Pavlovic, James M. Rehg, Ashutosh Garg, Thomas S. Huang: Multimodal Speaker Detection Using Error Feedback Dynamic Bayesian Networks. CVPR 2000: 2034-
3EEAshutosh Garg, Vladimir Pavlovic, James M. Rehg: Audio-Visual Speaker Detection Using Dynamic Bayesian Networks. FG 2000: 384-390
2EEVladimir Pavlovic, Ashutosh Garg, James M. Rehg: Multimodal Speaker Detection Using Input/Output Dynamic Bayesian Networks. ICMI 2000: 308-316
1EEIra Cohen, Ashutosh Garg, Thomas S. Huang: Vision-Based Overhead View Person Recognition. ICPR 2000: 5119-5124

Coauthor Index

1Shivani Agarwal [9]
2Lawrence S. Chen [15]
3Ira Cohen [1] [11] [15]
4Abhinandan Das [22]
5Mayur Datar [22]
6David Gondek [21]
7Sariel Har-Peled [13]
8Eric Horvitz [14] [18]
9Thomas S. Huang [1] [4] [5] [9] [10] [11] [15] [17] [19]
10T. S. Jayram (Jayram S. Thathachar) [20]
11Simon Kasif [8]
12Michael S. Lew [11]
13Milind R. Naphade [5]
14Nuria Oliver [12] [14] [18]
15Vladimir Pavlovic [2] [3] [4] [8] [10]
16ShyamSundar Rajaram [17] [22]
17James M. Rehg [2] [3] [4]
18Dan Roth [6] [7] [13] [16]
19Nicu Sebe [11] [15]
20Shivakumar Vaithyanathan [20] [21]
21Xiang Sean Zhou [17] [19]
22Huaiyu Zhu [20]

Colors in the list of coauthors

Copyright © Sun May 17 03:24:02 2009 by Michael Ley (ley@uni-trier.de)