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Maximum weight and minimum redundancy: a novel framework for feature subset selection

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Publication:1951275
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DOI10.1016/J.PATCOG.2012.11.025zbMath1264.68154OpenAlexW1989750677MaRDI QIDQ1951275

Lishan Wu, Jun Kong, Jian-Zhong Wang, Yu-Xin Li, Bao-Xue Zhang

Publication date: 4 June 2013

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.patcog.2012.11.025


zbMATH Keywords

face recognitiontext categorizationfeature selectionmaximum weight and minimum redundancymicroarray classification


Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10)


Related Items (2)

Least loss: a simplified filter method for feature selection ⋮ A new distributed feature selection technique for classifying gene expression data


Uses Software

  • Yale Face
  • CMU PIE






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