Ashutosh Garg

According to our database1, Ashutosh Garg authored at least 28 papers between 2000 and 2007.

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Bibliography

2007
Google news personalization: scalable online collaborative filtering.
Proceedings of the 16th International Conference on World Wide Web, 2007

2005
Machine Learning in Computer Vision
Computational Imaging and Vision 29, Springer, ISBN: 978-1-4020-3275-2, 2005

Clustering with Model-level Constraints.
Proceedings of the 2005 SIAM International Conference on Data Mining, 2005

2004
Layered representations for learning and inferring office activity from multiple sensory channels.
Computer Vision and Image Understanding, 2004

Generalized Opinion Pooling.
Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2004

Asynchronous HMM with applications to speech recognition.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

A Discussion of Nonlinear Variants of Biased Discriminants for Interactive Image Retrieval.
Proceedings of the Image and Video Retrieval: Third International Conference, 2004

2003
Facial expression recognition from video sequences: temporal and static modeling.
Computer Vision and Image Understanding, 2003

Inline updates for HMMs.
Proceedings of the 8th European Conference on Speech Communication and Technology, EUROSPEECH 2003, 2003

Margin Distribution and Learning.
Proceedings of the Machine Learning, 2003

Frame-dependent multi-stream reliability indicators for audio-visual speech recognition.
Proceedings of the 2003 IEEE International Conference on Multimedia and Expo, 2003

Frame-dependent multi-stream reliability indicators for audio-visual speech recognition.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

Classification Approach towards Banking and Sorting Problems.
Proceedings of the Machine Learning: ECML 2003, 2003

2002
A Bayesian framework for combining gene predictions.
Bioinformatics, 2002

Emotion Recognition Using a Cauchy Naive Bayes Classifier.
Proceedings of the 16th International Conference on Pattern Recognition, 2002

Bayesian Networks as Ensemble of Classifiers.
Proceedings of the 16th International Conference on Pattern Recognition, 2002

Fusion of Global and Local Information for Object Detection.
Proceedings of the 16th International Conference on Pattern Recognition, 2002

MMIHMM: Maximum Mutual Information Hidden Markov Models.
Proceedings of the Machine Learning, 2002

On generalization bounds, projection profile, and margin distribution.
Proceedings of the Machine Learning, 2002

Layered Representations for Human Activity Recognition.
Proceedings of the 4th IEEE International Conference on Multimodal Interfaces (ICMI 2002), 2002

Facial expression recognition from video sequences.
Proceedings of the 2002 IEEE International Conference on Multimedia and Expo, 2002

2001
Duration Dependent Input Output Markov Models For Audio-Visual Event Detection.
Proceedings of the 2001 IEEE International Conference on Multimedia and Expo, 2001

Understanding Probabilistic Classifiers.
Proceedings of the Machine Learning: EMCL 2001, 2001

Learning Coherent Concepts.
Proceedings of the Algorithmic Learning Theory, 12th International Conference, 2001

2000
Vision-Based Overhead View Person Recognition.
Proceedings of the 15th International Conference on Pattern Recognition, 2000

Multimodal Speaker Detection Using Input/Output Dynamic Bayesian Networks.
Proceedings of the Advances in Multimodal Interfaces, 2000

Audio-Visual Speaker Detection Using Dynamic Bayesian Networks.
Proceedings of the 4th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2000), 2000

Multimodal Speaker Detection Using Error Feedback Dynamic Bayesian Networks.
Proceedings of the 2000 Conference on Computer Vision and Pattern Recognition (CVPR 2000), 2000


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