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Proceedings of the Adaptive and Learning Agents Workshop 2012, ALA 2012 - Held in Conjunction with the 11th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2012(1)
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Adaptive feature descriptor selection based on a multi-table reinforcement learning strategy
ArticleAbstract: This paper presents and evaluates a framework to improve the performance of visual object classificaPalabras claves:Bag of features, Descriptors, Q-Learning, reinforcement learningAutores:A. D. Sappa, Angel D. Sappa, Piñol M., Toledo R.Fuentes:googlescopusFeature selection based on reinforcement learning for object recognition
Conference ObjectAbstract: This paper presents a novel method that allows learning the best feature that describes a given imagPalabras claves:Object recognition, Q-Learning, reinforcement learning, Visual feature descriptorsAutores:A. D. Sappa, Angel D. Sappa, López A., Piñol M., Toledo R.Fuentes:googlescopusMulti-table reinforcement learning for visual object recognition
Conference ObjectAbstract: This paper presents a bag of feature based method for visual object recognition. Our contribution isPalabras claves:Artificial Intelligence, Object recognition, reinforcement learningAutores:A. D. Sappa, Angel D. Sappa, Piñol M., Toledo R.Fuentes:googlescopus