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139
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CIBCB
2005
IEEE
15 years 9 months ago
Feature Selection for Microarray Data Using Least Squares SVM and Particle Swarm Optimization
Feature selection is an important preprocessing technique for many pattern recognition problems. When the number of features is very large while the number of samples is relatively...
E. Ke Tang, Ponnuthurai N. Suganthan, Xin Yao
109
Voted
EVOW
2004
Springer
15 years 9 months ago
Evolutionary Search of Thresholds for Robust Feature Set Selection: Application to the Analysis of Microarray Data
Abstract. We deal with two important problems in pattern recognition that arise in the analysis of large datasets. While most feature subset selection methods use statistical techn...
Carlos Cotta, Christian Sloper, Pablo Moscato
116
Voted
PKDD
2009
Springer
113views Data Mining» more  PKDD 2009»
15 years 10 months ago
Feature Selection for Density Level-Sets
A frequent problem in density level-set estimation is the choice of the right features that give rise to compact and concise representations of the observed data. We present an eï¬...
Marius Kloft, Shinichi Nakajima, Ulf Brefeld
137
Voted
JMM2
2007
100views more  JMM2 2007»
15 years 3 months ago
On Separation of English Numerals from Multilingual Document Images
— For Optical Character Recognition (OCR) of bilingual or multilingual document containing text words in regional language and numerals in English, it is necessary to identify di...
Basanna V. Dhandra, Mallikarjun Hangarge
108
Voted
PR
2007
96views more  PR 2007»
15 years 3 months ago
Style-preserving English handwriting synthesis
This paper presents a novel and effective approach to synthesize English handwriting in the user’s writing style. We select the most important features that depict the handwriti...
Zhouchen Lin, Liang Wan