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Ashutosh Garg:
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Publications of Author
- Ashutosh Garg, Dan Roth
Learning Coherent Concepts. [Citation Graph (0, 0)][DBLP] ALT, 2001, pp:135-150 [Conf]
- Ashutosh Garg, T. S. Jayram, Shivakumar Vaithyanathan, Huaiyu Zhu
Generalized Opinion Pooling. [Citation Graph (0, 0)][DBLP] AMAI, 2004, pp:- [Conf]
- Xiang Sean Zhou, Ashutosh Garg, Thomas S. Huang
A Discussion of Nonlinear Variants of Biased Discriminants for Interactive Image Retrieval. [Citation Graph (0, 0)][DBLP] CIVR, 2004, pp:353-364 [Conf]
- Vladimir Pavlovic, James M. Rehg, Ashutosh Garg, Thomas S. Huang
Multimodal Speaker Detection Using Error Feedback Dynamic Bayesian Networks. [Citation Graph (0, 0)][DBLP] CVPR, 2000, pp:2034-0 [Conf]
- Ashutosh Garg, Dan Roth
Understanding Probabilistic Classifiers. [Citation Graph (0, 0)][DBLP] ECML, 2001, pp:179-191 [Conf]
- ShyamSundar Rajaram, Ashutosh Garg, Xiang Sean Zhou, Thomas S. Huang
Classification Approach towards Banking and Sorting Problems. [Citation Graph (0, 0)][DBLP] ECML, 2003, pp:301-312 [Conf]
- Ashutosh Garg, Vladimir Pavlovic, James M. Rehg
Audio-Visual Speaker Detection Using Dynamic Bayesian Networks. [Citation Graph (0, 0)][DBLP] FG, 2000, pp:384-390 [Conf]
- Milind R. Naphade, Ashutosh Garg, Thomas S. Huang
Duration Dependent Input Output Markov Models For Audio-Visual Event Detection. [Citation Graph (0, 0)][DBLP] ICME, 2001, pp:- [Conf]
- Nuria Oliver, Eric Horvitz, Ashutosh Garg
Layered Representations for Human Activity Recognition. [Citation Graph (0, 0)][DBLP] ICMI, 2002, pp:3-8 [Conf]
- Vladimir Pavlovic, Ashutosh Garg, James M. Rehg
Multimodal Speaker Detection Using Input/Output Dynamic Bayesian Networks. [Citation Graph (0, 0)][DBLP] ICMI, 2000, pp:308-316 [Conf]
- Ashutosh Garg, Sariel Har-Peled, Dan Roth
On generalization bounds, projection profile, and margin distribution. [Citation Graph (0, 0)][DBLP] ICML, 2002, pp:171-178 [Conf]
- Ashutosh Garg, Dan Roth
Margin Distribution and Learning. [Citation Graph (0, 0)][DBLP] ICML, 2003, pp:210-217 [Conf]
- Nuria Oliver, Ashutosh Garg
MMIHMM: Maximum Mutual Information Hidden Markov Models. [Citation Graph (0, 0)][DBLP] ICML, 2002, pp:466-473 [Conf]
- Ira Cohen, Ashutosh Garg, Thomas S. Huang
Vision-Based Overhead View Person Recognition. [Citation Graph (0, 0)][DBLP] ICPR, 2000, pp:5119-5124 [Conf]
- Ashutosh Garg, Shivani Agarwal, Thomas S. Huang
Fusion of Global and Local Information for Object Detection. [Citation Graph (0, 0)][DBLP] ICPR (3), 2002, pp:723-0 [Conf]
- Ashutosh Garg, Vladimir Pavlovic, Thomas S. Huang
Bayesian Networks as Ensemble of Classifiers. [Citation Graph (0, 0)][DBLP] ICPR (2), 2002, pp:779-784 [Conf]
- Nicu Sebe, Michael S. Lew, Ira Cohen, Ashutosh Garg, Thomas S. Huang
Emotion Recognition Using a Cauchy Naive Bayes Classifier. [Citation Graph (0, 0)][DBLP] ICPR (1), 2002, pp:17-0 [Conf]
- David Gondek, Shivakumar Vaithyanathan, Ashutosh Garg
Clustering with Model-level Constraints. [Citation Graph (0, 0)][DBLP] SDM, 2005, pp:- [Conf]
- Vladimir Pavlovic, Ashutosh Garg, Simon Kasif
A Bayesian framework for combining gene predictions. [Citation Graph (0, 0)][DBLP] Bioinformatics, 2002, v:18, n:1, pp:19-27 [Journal]
- Ira Cohen, Nicu Sebe, Ashutosh Garg, Lawrence S. Chen, Thomas S. Huang
Facial expression recognition from video sequences: temporal and static modeling. [Citation Graph (0, 0)][DBLP] Computer Vision and Image Understanding, 2003, v:91, n:1-2, pp:160-187 [Journal]
- Nuria Oliver, Ashutosh Garg, Eric Horvitz
Layered representations for learning and inferring office activity from multiple sensory channels. [Citation Graph (0, 0)][DBLP] Computer Vision and Image Understanding, 2004, v:96, n:2, pp:163-180 [Journal]
- Abhinandan Das, Mayur Datar, Ashutosh Garg, ShyamSundar Rajaram
Google news personalization: scalable online collaborative filtering. [Citation Graph (0, 0)][DBLP] WWW, 2007, pp:271-280 [Conf]
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