Ashutosh Garg - researchr alias

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Viewing Publication 1 - 32 from 32

2022

Vani: A Voice-Activated Network AssistantRuchi Dohare, Laxmi Thakare, Ashutosh Garg. comsnets 2022: 427-429 [doi]

2007

Google news personalization: scalable online collaborative filteringAbhinandan Das, Mayur Datar, Ashutosh Garg, Shyamsundar Rajaram. WWW 2007: 271-280 [doi]

2005

Clustering with Model-level ConstraintsDavid Gondek, Shivakumar Vaithyanathan, Ashutosh Garg. sdm 2005: 126-137

Machine Learning in Computer VisionNicu Sebe, Ira Cohen, Ashutosh Garg, Thomas S. Huang. Volume 29 of Computational Imaging and Vision, Springer, 2005. [doi]

2004

2003

Facial expression recognition from video sequences: temporal and static modelingIra Cohen, Nicu Sebe, Ashutosh Garg, Lawrence S. Chen, Thomas S. Huang. cviu, 91(1-2):160-187, 2003. [doi]

Inline updates for HMMsAshutosh Garg, Manfred K. Warmuth. interspeech 2003: 1005-1008 [doi]

Boosted learning in dynamic Bayesian networks for multimodal speaker detectionAshutosh Garg, Vladimir Pavlovic, James M. Rehg. pieee, 91(9):1355-1369, 2003. [doi]

Margin Distribution and LearningAshutosh Garg, Dan Roth. icml 2003: 210-217

Frame-dependent multi-stream reliability indicators for audio-visual speech recognitionAshutosh Garg, Gerasimos Potamianos, Chalapathy Neti, Thomas S. Huang. icassp 2003: 24-27 [doi]

Frame-dependent multi-stream reliability indicators for audio-visual speech recognitionAshutosh Garg, Gerasimos Potamianos, Chalapathy Neti, Thomas S. Huang. icmcs 2004: 605-608 [doi]

Recent advances in the automatic recognition of audiovisual speechGerasimos Potamianos, Chalapathy Neti, Guillaume Gravier, Ashutosh Garg, Andrew W. Senior. pieee, 91(9):1306-1326, 2003. [doi]

Classification Approach towards Banking and Sorting ProblemsShyamsundar Rajaram, Ashutosh Garg, Xiang Sean Zhou, Thomas S. Huang. ecml 2003: 301-312 [doi]

2002

Facial expression recognition from video sequencesIra Cohen, Nicu Sebe, Ashutosh Garg, Michael S. Lew, Thomas S. Huang. icmcs 2002: 121-124 [doi]

Bayesian Networks as Ensemble of ClassifiersAshutosh Garg, Vladimir Pavlovic, Thomas S. Huang. icpr 2002: 779-784 [doi]

Fusion of Global and Local Information for Object DetectionAshutosh Garg, Shivani Agarwal, Thomas S. Huang. icpr 2002: 723 [doi]

On generalization bounds, projection profile, and margin distributionAshutosh Garg, Sariel Har-Peled, Dan Roth. icml 2002: 171-178

MMIHMM: Maximum Mutual Information Hidden Markov ModelsNuria Oliver, Ashutosh Garg. icml 2002: 466-473

Layered Representations for Human Activity RecognitionNuria Oliver, Eric Horvitz, Ashutosh Garg. icmi 2002: 3-8 [doi]

A Bayesian framework for combining gene predictionsVladimir Pavlovic, Ashutosh Garg, Simon Kasif. bioinformatics, 18(1):19-27, 2002.

Emotion Recognition Using a Cauchy Naive Bayes ClassifierNicu Sebe, Michael S. Lew, Ira Cohen, Ashutosh Garg, Thomas S. Huang. icpr 2002: 17 [doi]

2001

Learning Coherent ConceptsAshutosh Garg, Dan Roth. alt 2001: 135-150 [doi]

Understanding Probabilistic ClassifiersAshutosh Garg, Dan Roth. ecml 2001: 179-191 [doi]

Duration Dependent Input Output Markov Models For Audio-Visual Event DetectionMilind R. Naphade, Ashutosh Garg, Thomas S. Huang. icmcs 2001: [doi]

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Publications by 'Ashutosh Garg'

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2022

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2000

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