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» Regularized Learning with Networks of Features
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PPSN
2010
Springer
14 years 10 months ago
Indirect Encoding of Neural Networks for Scalable Go
Abstract. The game of Go has attracted much attention from the artificial intelligence community. A key feature of Go is that humans begin to learn on a small board, and then incr...
Jason Gauci, Kenneth O. Stanley
CVPR
2006
IEEE
16 years 1 months ago
Accurate Face Alignment using Shape Constrained Markov Network
In this paper, we present a shape constrained Markov network for accurate face alignment. The global face shape is defined as a set of weighted shape samples which are integrated ...
Lin Liang, Fang Wen, Ying-Qing Xu, Xiaoou Tang, He...
BMCBI
2005
100views more  BMCBI 2005»
14 years 11 months ago
Speeding disease gene discovery by sequence based candidate prioritization
Background: Regions of interest identified through genetic linkage studies regularly exceed 30 centimorgans in size and can contain hundreds of genes. Traditionally this number is...
Euan A. Adie, Richard R. Adams, Kathryn L. Evans, ...
INFOCOM
2005
IEEE
15 years 5 months ago
GLIDER: gradient landmark-based distributed routing for sensor networks
— We present Gradient Landmark-Based Distributed Routing (GLIDER), a novel naming/addressing scheme and associated routing algorithm, for a network of wireless communicating node...
Qing Fang, Jie Gao, Leonidas J. Guibas, V. de Silv...
INFOCOM
2012
IEEE
13 years 2 months ago
Robust multi-pipeline scheduling in low-duty-cycle wireless sensor networks
—Data collection is one of the major traffic pattern in wireless sensor networks, which requires regular source nodes to send data packets to a common sink node with limited end...
Yongle Cao, Shuo Guo, Tian He