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CVPR
2006
IEEE
16 years 8 months ago
Hierarchical Statistical Learning of Generic Parts of Object Structure
With the growing interest in object categorization various methods have emerged that perform well in this challenging task, yet are inherently limited to only a moderate number of...
Sanja Fidler, Gregor Berginc, Ales Leonardis
CSR
2007
Springer
16 years 18 days ago
New Bounds for MAX-SAT by Clause Learning
To solve a problem on a given CNF formula F a splitting algorithm recursively calls for F[v] and F[¬v] for a variable v. Obviously, after the first call an algorithm obtains some...
Alexander S. Kulikov, Konstantin Kutzkov
WACV
2005
IEEE
16 years 3 hour ago
Learning the Behavior of Users in a Public Space through Video Tracking
The paper describes a video tracking system that tracks and analyzes the behavioral pattern of users in a public space. We have obtained important statistical measurements about u...
Wei Yan, David A. Forsyth
PRICAI
2000
Springer
15 years 10 months ago
Generating Hierarchical Structure in Reinforcement Learning from State Variables
This paper presents the CQ algorithm which decomposes and solves a Markov Decision Process (MDP) by automatically generating a hierarchy of smaller MDPs using state variables. The ...
Bernhard Hengst
CIKM
2009
Springer
15 years 9 months ago
Learning from past queries for resource selection
Federated text search provides a unified search interface for multiple search engines of distributed text information sources. Resource selection is an important component for fed...
Suleyman Cetintas, Luo Si, Hao Yuan