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AAMAS
2002
Springer
13 years 9 months ago
Adapting Populations of Agents
We control a population of interacting software agents. The agents have a strategy, and receive a payoff for executing that strategy. Unsuccessful agents become extinct. We investi...
Philippe De Wilde, Maria Chli, Luís Correia...
MLDM
2005
Springer
14 years 3 months ago
Multivariate Discretization by Recursive Supervised Bipartition of Graph
Abstract. In supervised learning, discretization of the continuous explanatory attributes enhances the accuracy of decision tree induction algorithms and naive Bayes classifier. M...
Sylvain Ferrandiz, Marc Boullé
ECCV
2004
Springer
14 years 11 months ago
Weak Hypotheses and Boosting for Generic Object Detection and Recognition
In this paper we describe the first stage of a new learning system for object detection and recognition. For our system we propose Boosting [5] as the underlying learning technique...
Andreas Opelt, Michael Fussenegger, Axel Pinz, Pet...
PRL
2007
138views more  PRL 2007»
13 years 9 months ago
Ent-Boost: Boosting using entropy measures for robust object detection
Recently, boosting has come to be used widely in object-detection applications because of its impressive performance in both speed and accuracy. However, learning weak classifier...
Duy-Dinh Le, Shin'ichi Satoh
TSMC
2010
13 years 4 months ago
Geometric Distortion Insensitive Image Watermarking in Affine Covariant Regions
Feature-based image watermarking schemes, which aim to survive various geometric distortions, have attracted great attention in recent years. Existing schemes have shown robustness...
Xinbo Gao, Cheng Deng, Xuelong Li, Dacheng Tao