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ICCV
2007
IEEE
14 years 10 months ago
Gradient Feature Selection for Online Boosting
Boosting has been widely applied in computer vision, especially after Viola and Jones's seminal work [23]. The marriage of rectangular features and integral-imageenabled fast...
Ting Yu, Xiaoming Liu 0002
WINET
2002
103views more  WINET 2002»
13 years 8 months ago
LeZi-Update: An Information-Theoretic Framework for Personal Mobility Tracking in PCS Networks
The complexity of the mobility tracking problem in a cellular environment has been characterized under an information-theoretic framework. Shannon's entropy measure is identif...
Amiya Bhattacharya, Sajal K. Das
ICML
2005
IEEE
14 years 9 months ago
Reinforcement learning with Gaussian processes
Gaussian Process Temporal Difference (GPTD) learning offers a Bayesian solution to the policy evaluation problem of reinforcement learning. In this paper we extend the GPTD framew...
Yaakov Engel, Shie Mannor, Ron Meir
ICIP
2009
IEEE
13 years 6 months ago
Optimization on active learning strategy for object category retrieval
Active learning is a framework that has attracted a lot of research interest in the content-based image retrieval (CBIR) in recent years. To be effective, an active learning syste...
David Gorisse, Matthieu Cord, Frédér...
ICANN
2005
Springer
14 years 2 months ago
Short Term Memories and Forcing the Re-use of Knowledge for Generalization
Despite the well-known performances and the theoretical power of neural networks, learning and generalizing are sometimes very difficult. In this article, we investigate how short ...
Laurent Orseau