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TNN
2008
182views more  TNN 2008»
13 years 9 months ago
Large-Scale Maximum Margin Discriminant Analysis Using Core Vector Machines
Abstract--Large-margin methods, such as support vector machines (SVMs), have been very successful in classification problems. Recently, maximum margin discriminant analysis (MMDA) ...
Ivor Wai-Hung Tsang, András Kocsor, James T...
PAMI
2007
210views more  PAMI 2007»
13 years 8 months ago
Sharing Visual Features for Multiclass and Multiview Object Detection
We consider the problem of detecting a large number of different classes of objects in cluttered scenes. Traditional approaches require applying a battery of different classifier...
Antonio Torralba, Kevin P. Murphy, William T. Free...
PKDD
2010
Springer
179views Data Mining» more  PKDD 2010»
13 years 7 months ago
Gaussian Processes for Sample Efficient Reinforcement Learning with RMAX-Like Exploration
Abstract. We present an implementation of model-based online reinforcement learning (RL) for continuous domains with deterministic transitions that is specifically designed to achi...
Tobias Jung, Peter Stone
GLOBECOM
2006
IEEE
14 years 3 months ago
Linear Coherent Decentralized Estimation
Abstract—We consider the distributed estimation of an unknown vector signal in a resource constrained sensor network with a fusion center. Due to power and bandwidth limitations,...
Jinjun Xiao, Shuguang Cui, Zhi-Quan Luo, Andrea J....
INFOCOM
2003
IEEE
14 years 2 months ago
IP-Subnet Aware Routing in WDM Mesh Networks
Abstract— We explore the problem of routing bandwidth guaranteed paths in wavelength-routed, WDM optical mesh networks. A WDM mesh network offers great flexibility in dynamicall...
Swarup Acharya, Bhawna Gupta, Pankaj Risbood, Anur...