Feature selection with complexity measure in a quadratic programming setting

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6669 LNCS, Issue , 2011, Pages 524-531

  Sousa, Ricardo ^a   Oliveira, Hélder P ^a   Cardoso, Jaime S ^a  

^a UNIVERSITY OF PORTO   (Portugal)

Author keywords

Feature Selection; Pattern Recognition; Quadratic Optimisation

Indexed keywords

AMOUNT OF INFORMATION; COMPLEXITY MEASURES; FEATURE SELECTION ALGORITHM; HIGH DIMENSIONAL DATA; MACHINE LEARNING PROBLEM; MINIMUM SPANNING TREES; NON-PROBABILISTIC; OPTIMISATIONS; REAL DATA SETS; ROBUST LEARNING; SELECTION TECHNIQUES;

CLUSTERING ALGORITHMS; IMAGE ANALYSIS; OPTIMIZATION; LEARNING SYSTEMS; PATTERN RECOGNITION; QUADRATIC PROGRAMMING;

FEATURE EXTRACTION;

EID: 79960026749     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-21257-4_65     Document Type: Conference Paper

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