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TNN
2008
182views more  TNN 2008»
15 years 4 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»
15 years 3 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»
15 years 1 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
15 years 10 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
15 years 9 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...