2007 |
22 | EE | Abhinandan 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 |
20 | EE | Ashutosh Garg,
T. S. Jayram,
Shivakumar Vaithyanathan,
Huaiyu Zhu:
Generalized Opinion Pooling.
AMAI 2004 |
19 | EE | Xiang Sean Zhou,
Ashutosh Garg,
Thomas S. Huang:
A Discussion of Nonlinear Variants of Biased Discriminants for Interactive Image Retrieval.
CIVR 2004: 353-364 |
18 | EE | 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) |
2003 |
17 | EE | ShyamSundar 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 |
15 | EE | 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) |
2002 |
14 | EE | Nuria 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 |
11 | EE | Nicu Sebe,
Michael S. Lew,
Ira Cohen,
Ashutosh Garg,
Thomas S. Huang:
Emotion Recognition Using a Cauchy Naive Bayes Classifier.
ICPR (1) 2002: 17- |
10 | EE | Ashutosh Garg,
Vladimir Pavlovic,
Thomas S. Huang:
Bayesian Networks as Ensemble of Classifiers.
ICPR (2) 2002: 779-784 |
9 | EE | Ashutosh 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 |
7 | EE | Ashutosh Garg,
Dan Roth:
Learning Coherent Concepts.
ALT 2001: 135-150 |
6 | EE | Ashutosh Garg,
Dan Roth:
Understanding Probabilistic Classifiers.
ECML 2001: 179-191 |
5 | EE | Milind R. Naphade,
Ashutosh Garg,
Thomas S. Huang:
Duration Dependent Input Output Markov Models For Audio-Visual Event Detection.
ICME 2001 |
2000 |
4 | EE | Vladimir Pavlovic,
James M. Rehg,
Ashutosh Garg,
Thomas S. Huang:
Multimodal Speaker Detection Using Error Feedback Dynamic Bayesian Networks.
CVPR 2000: 2034- |
3 | EE | Ashutosh Garg,
Vladimir Pavlovic,
James M. Rehg:
Audio-Visual Speaker Detection Using Dynamic Bayesian Networks.
FG 2000: 384-390 |
2 | EE | Vladimir Pavlovic,
Ashutosh Garg,
James M. Rehg:
Multimodal Speaker Detection Using Input/Output Dynamic Bayesian Networks.
ICMI 2000: 308-316 |
1 | EE | Ira Cohen,
Ashutosh Garg,
Thomas S. Huang:
Vision-Based Overhead View Person Recognition.
ICPR 2000: 5119-5124 |