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NIPS
2003
13 years 10 months ago
All learning is Local: Multi-agent Learning in Global Reward Games
In large multiagent games, partial observability, coordination, and credit assignment persistently plague attempts to design good learning algorithms. We provide a simple and efď¬...
Yu-Han Chang, Tracey Ho, Leslie Pack Kaelbling
ISCC
2008
IEEE
129views Communications» more  ISCC 2008»
14 years 3 months ago
AT-Angle: A distributed method for localization using angles in sensor networks
Determining where a given sensor is physically located is a challenging issue. In this paper, we address the localization problem where, initially, a certain number of sensors cal...
Clément Saad, Abderrahim Benslimane, Jean-C...
PSIVT
2009
Springer
400views Multimedia» more  PSIVT 2009»
14 years 3 months ago
Local Image Descriptors Using Supervised Kernel ICA
PCA-SIFT is an extension to SIFT which aims to reduce SIFT’s high dimensionality (128 dimensions) by applying PCA to the gradient image patches. However PCA is not a discriminati...
Masaki Yamazaki, Sidney Fels
WCNC
2008
IEEE
14 years 3 months ago
Mitigation of the Propagation of Localization Error Using Multi-Hop Bounding
Abstract—In ad hoc position-location networks, location information is obtained through the sequential estimation of node locations. An unlocalized node can estimate its location...
R. Michael Buehrer, Swaroop Venkatesh, Tao Jia
ICIP
2008
IEEE
14 years 3 months ago
Dynamic background modeling and subtraction using spatio-temporal local binary patterns
Traditional background modeling and subtraction methods have a strong assumption that the scenes are of static structures with limited perturbation. These methods will perform poo...
Shengping Zhang, Hongxun Yao, Shaohui Liu