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» Labelled Markov Processes: Stronger and Faster Approximation...
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EMMCVPR
2005
Springer
15 years 11 months ago
Linear Programming Matching and Appearance-Adaptive Object Tracking
Abstract. In this paper, we present a novel successive relaxation linear programming scheme for solving the important class of consistent labeling problems for which an L1 metric i...
Hao Jiang, Mark S. Drew, Ze-Nian Li
ICML
2007
IEEE
16 years 6 months ago
Automatic shaping and decomposition of reward functions
This paper investigates the problem of automatically learning how to restructure the reward function of a Markov decision process so as to speed up reinforcement learning. We begi...
Bhaskara Marthi
ACL
2010
15 years 4 months ago
Identifying Text Polarity Using Random Walks
Automatically identifying the polarity of words is a very important task in Natural Language Processing. It has applications in text classification, text filtering, analysis of pr...
Ahmed Hassan, Dragomir R. Radev
ICPR
2006
IEEE
16 years 7 months ago
Learning Policies for Efficiently Identifying Objects of Many Classes
Viola and Jones (VJ) cascade classification methods have proven to be very successful in detecting objects belonging to a single class -- e.g., faces. This paper addresses the mor...
Ahmed M. Elgammal, Ramana Isukapalli, Russell Grei...
ICIP
2008
IEEE
16 years 7 months ago
Comparing SIFT descriptors and gabor texture features for classification of remote sensed imagery
A richer set of land-cover classes are observable in satellite imagery than ever before due to the increased sub-meter resolution. Individual objects, such as cars and houses, are...
Yi Yang, Shawn Newsam