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» Algorithms for Challenging Motif Problems
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BMCBI
2007
173views more  BMCBI 2007»
13 years 8 months ago
Recursive Cluster Elimination (RCE) for classification and feature selection from gene expression data
Background: Classification studies using gene expression datasets are usually based on small numbers of samples and tens of thousands of genes. The selection of those genes that a...
Malik Yousef, Segun Jung, Louise C. Showe, Michael...
CVIU
2007
154views more  CVIU 2007»
13 years 8 months ago
Smart particle filtering for high-dimensional tracking
Tracking articulated structures like a hand or body within a reasonable time is challenging because of the high dimensionality of the state space. Recently, a new optimization met...
Matthieu Bray, Esther Koller-Meier, Luc J. Van Goo...
JSAC
2006
124views more  JSAC 2006»
13 years 8 months ago
A game-theoretic approach to energy-efficient power control in multicarrier CDMA systems
A game-theoretic model for studying power control in multicarrier code-division multiple-access systems is proposed. Power control is modeled as a noncooperative game in which each...
Farhad Meshkati, Mung Chiang, H. Vincent Poor, Stu...
MONET
2008
150views more  MONET 2008»
13 years 8 months ago
A Multi-radio 802.11 Mesh Network Architecture
Routers equipped with multiple 802.11 radios can alleviate capacity problems in wireless mesh networks. However, a practical, complete system architecture that can realize the bene...
Krishna N. Ramachandran, Irfan Sheriff, Elizabeth ...
TIP
2008
133views more  TIP 2008»
13 years 7 months ago
A Recursive Model-Reduction Method for Approximate Inference in Gaussian Markov Random Fields
This paper presents recursive cavity modeling--a principled, tractable approach to approximate, near-optimal inference for large Gauss-Markov random fields. The main idea is to su...
Jason K. Johnson, Alan S. Willsky