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» Feature Selection in Clustering Problems
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CVPR
2004
IEEE
14 years 11 months ago
Sharing Features: Efficient Boosting Procedures for Multiclass Object Detection
We consider the problem of detecting a large number of different object classes in cluttered scenes. Traditional approaches require applying a battery of different classifiers to ...
Antonio B. Torralba, Kevin P. Murphy, William T. F...
CN
2006
112views more  CN 2006»
13 years 9 months ago
Optimal server allocations for streaming multimedia applications on the Internet
In this paper, we address the server selection problem for streaming applications on the Internet. The architecture we consider is similar to the content distribution networks con...
Padmavathi Mundur, Poorva Arankalle
ICVS
2009
Springer
14 years 3 months ago
Using Local Symmetry for Landmark Selection
Abstract. Most visual Simultaneous Localization And Mapping (SLAM) methods use interest points as landmarks in their maps of the environment. Often the interest points are detected...
Gert Kootstra, Sjoerd de Jong, Lambert Schomaker
ECAI
2004
Springer
14 years 2 months ago
A Context-Based Model of Attention
d abstract)1 Niek Bergboer Eric Postma Jaap van den Herik Institute for Knowledge and Agent Technology, Universiteit Maastricht, P.O. Box 616, 6200 MD Maastricht It is well known t...
Niek Bergboer, Eric O. Postma, H. Jaap van den Her...
SDM
2010
SIAM
156views Data Mining» more  SDM 2010»
13 years 10 months ago
Co-selection of Features and Instances for Unsupervised Rare Category Analysis
Rare category analysis is of key importance both in theory and in practice. Previous research work focuses on supervised rare category analysis, such as rare category detection an...
Jingrui He, Jaime G. Carbonell