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» On Feature Selection through Clustering
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EMO
2001
Springer
150views Optimization» more  EMO 2001»
14 years 9 days ago
On the Effects of Archiving, Elitism, and Density Based Selection in Evolutionary Multi-objective Optimization
This paper studies the influence of what are recognized as key issues in evolutionary multi-objective optimization: archiving (to keep track of the current non-dominated solutions...
Marco Laumanns, Eckart Zitzler, Lothar Thiele
CONEXT
2005
ACM
13 years 9 months ago
TIE breaking: tunable interdomain egress selection
— The separation of intradomain and interdomain routing has been a key feature of the Internet’s routing architecture from the early days of the ARPAnet. However, the appropria...
Renata Teixeira, Timothy G. Griffin, Mauricio G. C...
WIOPT
2010
IEEE
13 years 6 months ago
Low complexity algorithms for relay selection and power control in interference-limited environments
Abstract—We consider an interference-limited wireless network, where multiple source-destination pairs compete for the same pool of relay nodes. In an attempt to maximize the sum...
Lazaros Gkatzikis, Iordanis Koutsopoulos
ICCV
2005
IEEE
14 years 9 months ago
Creating Efficient Codebooks for Visual Recognition
Visual codebook based quantization of robust appearance descriptors extracted from local image patches is an effective means of capturing image statistics for texture analysis and...
Bill Triggs, Frédéric Jurie
BMCBI
2007
237views more  BMCBI 2007»
13 years 8 months ago
FLAME, a novel fuzzy clustering method for the analysis of DNA microarray data
Background: Data clustering analysis has been extensively applied to extract information from gene expression profiles obtained with DNA microarrays. To this aim, existing cluster...
Limin Fu, Enzo Medico