Ashutosh Garg

Affiliations:
  • Google Inc., Mountain View, CA, USA
  • IBM Almaden Reasearch Center, San Jose, CA, USA
  • University of Illinois Urbana-Champaign, Department of Computer Science, Beckman Institute, IL, USA (PhD 2003)


According to our database1, Ashutosh Garg authored at least 24 papers between 2000 and 2005.

Collaborative distances:

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

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

2004
Layered representations for learning and inferring office activity from multiple sensory channels.
Comput. Vis. Image Underst., 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
Learning in High Dimensional Spaces: Applications, Theory, and Algorithms
PhD thesis, 2003

Boosted learning in dynamic Bayesian networks for multimodal speaker detection.
Proc. IEEE, 2003

Facial expression recognition from video sequences: temporal and static modeling.
Comput. Vis. Image Underst., 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 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.
Bioinform., 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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