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» Parallelizing Feature Selection
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ICIP
2010
IEEE
13 years 5 months ago
Robust object detection scheme using feature selection
Feature selection is an important issue for object detection. In this paper, we propose an effective wrapper-based feature selection scheme using Binary Particle Swarm Optimizatio...
Hong Pan, Liang-Zheng Xia, Truong Q. Nguyen
PAKDD
2000
ACM
124views Data Mining» more  PAKDD 2000»
13 years 11 months ago
Feature Selection for Clustering
In clustering, global feature selection algorithms attempt to select a common feature subset that is relevant to all clusters. Consequently, they are not able to identify individu...
Manoranjan Dash, Huan Liu
ICONIP
2008
13 years 8 months ago
Local Feature Selection in Text Clustering
Abstract. Feature selection has improved the performance of text clustering. Global feature selection tries to identify a single subset of features which are relevant to all cluste...
Marcelo N. Ribeiro, Manoel J. R. Neto, Ricardo Bas...
RSKT
2009
Springer
13 years 12 months ago
A Time-Reduction Strategy to Feature Selection in Rough Set Theory
In rough set theory, the problem of feature selection aims to retain the discriminatory power of original features. Many feature selection algorithms have been proposed, however, q...
Hongxing Chen, Yuhua Qian, Jiye Liang, Wei Wei, Fe...
ISBI
2008
IEEE
14 years 8 months ago
Mutual information-based feature selection enhances fMRI brain activity classification
In this paper, we adress the question of decoding cognitive information from functional Magnetic Resonance (MR) images using classification techniques. The main bottleneck for acc...
Bertrand Thirion, Cécilia Damon, Vincent Mi...