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AAMAS
2007
Springer
16 years 1 months ago
Continuous-State Reinforcement Learning with Fuzzy Approximation
Abstract. Reinforcement learning (RL) is a widely used learning paradigm for adaptive agents. There exist several convergent and consistent RL algorithms which have been intensivel...
Lucian Busoniu, Damien Ernst, Bart De Schutter, Ro...
AMR
2005
Springer
117views Multimedia» more  AMR 2005»
16 years 11 days ago
Learning User Queries in Multimodal Dissimilarity Spaces
Abstract. Different strategies to learn user semantic queries from dissimilarity representations of video audio-visual content are presented. When dealing with large corpora of vi...
Eric Bruno, Nicolas Moënne-Loccoz, Sté...
UAI
2003
15 years 8 months ago
Learning Generative Models of Similarity Matrices
Recently, spectral clustering (a.k.a. normalized graph cut) techniques have become popular for their potential ability at finding irregularlyshaped clusters in data. The input to...
Rómer Rosales, Brendan J. Frey
CSL
2002
Springer
15 years 6 months ago
Learning visually grounded words and syntax for a scene description task
A spoken language generation system has been developed that learns to describe objects in computer-generated visual scenes. The system is trained by a `show-and-tell' procedu...
Deb K. Roy
CVPR
2009
IEEE
17 years 1 months ago
Learning query-dependent prefilters for scalable image retrieval
We describe an algorithm for similar-image search which is designed to be efficient for extremely large collections of images. For each query, a small response set is selected by...
Lorenzo Torresani (Dartmouth College), Martin Szum...