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» Learning to Track with Multiple Observers
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IJCAI
2001
13 years 9 months ago
Exploiting Multiple Secondary Reinforcers in Policy Gradient Reinforcement Learning
Most formulations of Reinforcement Learning depend on a single reinforcement reward value to guide the search for the optimal policy solution. If observation of this reward is rar...
Gregory Z. Grudic, Lyle H. Ungar
AAAI
2010
13 years 9 months ago
Unsupervised Learning of Event Classes from Video
We present a method for unsupervised learning of event classes from videos in which multiple actions might occur simultaneously. It is assumed that all such activities are produce...
Muralikrishna Sridhar, Anthony G. Cohn, David C. H...
CVPR
1997
IEEE
13 years 12 months ago
Multi-Modal Tracking of Faces for Video Communications
This paper describes a system which uses multiple visual processes to detect and track faces for video compression and transmission. The system is based on an architecture in whic...
James L. Crowley, François Bérard
MICCAI
2008
Springer
14 years 9 months ago
Tracking the Swimming Motions of C
Quantitative analysis of the swimming motions of C. elegans worms are of critical importance for many gene-related studies on aging. However no automated methods are currently in u...
Christophe Restif, Dimitris N. Metaxas
CORR
2010
Springer
183views Education» more  CORR 2010»
13 years 6 months ago
Discovering shared and individual latent structure in multiple time series
This paper proposes a nonparametric Bayesian method for exploratory data analysis and feature construction in continuous time series. Our method focuses on understanding shared fe...
Suchi Saria, Daphne Koller, Anna Penn