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CVPR
2003
IEEE
14 years 11 months ago
Simultaneous Feature Selection and Classifier Training via Linear Programming: A Case Study for Face Expression Recognition
A linear programming technique is introduced that jointly performs feature selection and classifier training so that a subset of features is optimally selected together with the c...
Guodong Guo, Charles R. Dyer
GECCO
2005
Springer
114views Optimization» more  GECCO 2005»
14 years 2 months ago
Exploiting disruption aversion to control code bloat
The authors employ multiple crossovers as a novel natural extension to crossovers as a mixing operator. They use this as a framework to explore the ideas of code growth. Empirical...
Jason Stevens, Robert B. Heckendorn, Terence Soule
SCIA
2007
Springer
122views Image Analysis» more  SCIA 2007»
14 years 3 months ago
Individual Discriminative Face Recognition Models Based on Subsets of Features
Abstract. The accuracy of data classification methods depends considerably on the data representation and on the selected features. In this work, the elastic net model selection i...
Line Harder Clemmensen, David Delgado Gomez, Bjarn...
BMCBI
2008
119views more  BMCBI 2008»
13 years 9 months ago
Snagger: A user-friendly program for incorporating additional information for tagSNP selection
Background: There has been considerable effort focused on developing efficient programs for tagging single-nucleotide polymorphisms (SNPs). Many of these programs do not account f...
Christopher K. Edlund, Won H. Lee, Dalin Li, David...
MOBICOM
2004
ACM
14 years 2 months ago
Exploiting medium access diversity in rate adaptive wireless LANs
Recent years have seen the growing popularity of multi-rate wireless network devices (e.g., 802.11a cards) that can exploit variations in channel conditions and improve overall ne...
Zhengrong Ji, Yi Yang, Junlan Zhou, Mineo Takai, R...