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ICPR
2004
IEEE
16 years 5 months ago
Probabilistic Classification Between Foreground Objects and Background
Tracking of deformable objects like humans is a basic operation in many surveillance applications. Objects are detected as they enter the field of view of the camera and they are ...
Paul J. Withagen, Klamer Schutte, Frans C. A. Groe...
ICML
1998
IEEE
16 years 4 months ago
The MAXQ Method for Hierarchical Reinforcement Learning
This paper presents a new approach to hierarchical reinforcement learning based on the MAXQ decomposition of the value function. The MAXQ decomposition has both a procedural seman...
Thomas G. Dietterich
WWW
2007
ACM
16 years 4 months ago
Towards extracting flickr tag semantics
We address the problem of extracting semantics of tags ? short, unstructured text-labels assigned to resources on the Web ? based on each tag's metadata patterns. In particul...
Tye Rattenbury, Nathan Good, Mor Naaman
ACIVS
2009
Springer
15 years 10 months ago
Attributed Graph Matching Using Local Descriptions
Abstract. In the pattern recognition context, objects can be represented as graphs with attributed nodes and edges involving their relations. Consequently, matching attributed grap...
Salim Jouili, Ines Mili, Salvatore Tabbone
AINA
2007
IEEE
15 years 10 months ago
Extracting Significant Phrases from Text
Prospective readers can quickly determine whether a document is relevant to their information need if the significant phrases (or keyphrases) in this document are provided. Althou...
Yuan J. Lui, Richard Brent, Ani Calinescu