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» An Experimental Study on Feature Subset Selection Methods
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CVPR
2006
IEEE
16 years 1 months ago
Perception Strategies in Hierarchical Vision Systems
Flat appearance-based systems, which combine clever image representations with standard classifiers, might be the most effective way to recognize objects using current technologie...
Lior Wolf, Stanley M. Bileschi, Ethan Meyers
ECCV
2008
Springer
16 years 1 months ago
Improving Shape Retrieval by Learning Graph Transduction
Abstract. Shape retrieval/matching is a very important topic in computer vision. The recent progress in this domain has been mostly driven by designing smart features for providing...
Xingwei Yang, Xiang Bai, Longin Jan Latecki, Zhuow...
NIPS
2007
15 years 1 months ago
A Game-Theoretic Approach to Apprenticeship Learning
We study the problem of an apprentice learning to behave in an environment with an unknown reward function by observing the behavior of an expert. We follow on the work of Abbeel ...
Umar Syed, Robert E. Schapire
PRL
2008
118views more  PRL 2008»
14 years 11 months ago
Bayes Machines for binary classification
In this work we propose an approach to binary classification based on an extension of Bayes Point Machines. Particularly, we take into account the whole set of hypotheses that are...
Daniel Hernández-Lobato, José Miguel...
CIARP
2010
Springer
14 years 6 months ago
Comparison of Shape Descriptors for Mice Behavior Recognition
Shape representation provides fundamental features for many applications in computer vision and it is known to be important cues for human vision. This paper presents an experiment...
Jonathan de Andrade Silva, Wesley Nunes Gonç...