Supervised feature extraction using Hilbert-Schmidt norms

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

Volumn 5788 LNCS, Issue , 2009, Pages 25-33

  Daniusis P ^a,b   Vaitkus, P ^a  

^a VILNIUS UNIVERSITY   (Lithuania)

^b Vilnius Management Academy   (Lithuania)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER EXPERIMENT; DATA SETS; DATA TYPE; HILBERT; HILBERT-SCHMIDT NORM; MULTI-LABEL; POSITIVE DEFINITE KERNELS; UNBIASED ESTIMATOR;

CLASSIFICATION (OF INFORMATION); ENGINEERING EDUCATION; LABELS;

FEATURE EXTRACTION;

EID: 76249113699     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-04394-9_4     Document Type: Conference Paper

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