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ICANN
2009
Springer
14 years 5 months ago
Selective Attention Improves Learning
Abstract. We demonstrate that selective attention can improve learning. Considerably fewer samples are needed to learn a source separation problem when the inputs are pre-segmented...
Antti Yli-Krekola, Jaakko Särelä, Harri ...
CIVR
2005
Springer
137views Image Analysis» more  CIVR 2005»
14 years 3 months ago
Aspect-Based Relevance Learning for Image Retrieval
We analyze the special structure of the relevance feedback learning problem, focusing particularly on the effects of image selection by partial relevance on the clustering behavio...
Mark J. Huiskes
ATAL
2008
Springer
14 years 11 days ago
Graph Laplacian based transfer learning in reinforcement learning
The aim of transfer learning is to accelerate learning in related domains. In reinforcement learning, many different features such as a value function and a policy can be transfer...
Yi-Ting Tsao, Ke-Ting Xiao, Von-Wun Soo
CDC
2009
IEEE
168views Control Systems» more  CDC 2009»
14 years 3 months ago
Distributed coverage games for mobile visual sensors (II) : Reaching the set of global optima
— We formulate a coverage optimization problem for mobile visual sensor networks as a repeated multi-player game. Each visual sensor tries to optimize its own coverage while mini...
Minghui Zhu, Sonia Martínez
CDC
2009
IEEE
178views Control Systems» more  CDC 2009»
14 years 3 months ago
Distributed coverage games for mobile visual sensors (I): Reaching the set of Nash equilibria
— We formulate a coverage optimization problem for mobile visual sensor networks as a repeated multi-player game. Each visual sensor tries to optimize its own coverage while mini...
Minghui Zhu, Sonia Martínez