Incremental feature extraction based on empirical kernel map

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

Volumn 2871, Issue , 2003, Pages 440-444

  Kim, Byung Joo ^a   Shim, Joo Yong ^b   Hwang, Chang Ha ^b   Kim, Il Kon ^c   Song, Joon Hyun ^c  

^a Youngsan University   (South Korea)

^b Catholic University of Daegu   (South Korea)

^c Kyungpook National University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); EXTRACTION; FEATURE EXTRACTION; INTELLIGENT SYSTEMS; ARTIFICIAL INTELLIGENCE; EIGENVALUES AND EIGENFUNCTIONS; LEARNING SYSTEMS; NONLINEAR SYSTEMS; PRINCIPAL COMPONENT ANALYSIS;

EIGENSPACES; EMPIRICAL KERNEL MAP; KERNEL FUNCTION; KERNEL PRINCIPAL COMPONENT; KERNEL PRINCIPAL COMPONENT ANALYSES (KPCA); MEMORY REQUIREMENTS; NONLINEAR DATA SET; NONLINEAR FEATURE EXTRACTION;

PRINCIPAL COMPONENT ANALYSIS; FEATURE EXTRACTION;

BATCH KERNEL PRINCIPAL COMPONENTS; DATA SETS; EIGENSPACE; KERNEL MAPS;

EID: 7444232620     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-39592-8_62     Document Type: Conference Paper

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