Greedy kernel principal component analysis

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

Volumn 3948 LNCS, Issue , 2006, Pages 87-105

  Franc, Vojtěch ^a   Hlaváč, Václav ^a  

^a CZECH TECHNICAL UNIVERSITY IN PRAGUE   (Czech Republic)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); COGNITIVE SYSTEMS; DATA HANDLING; SUPPORT VECTOR MACHINES; VECTOR SPACES; VECTORS;

COMPUTATIONAL REQUIREMENTS; DATA REPRESENTATIONS; KERNEL FISHER LINEAR DISCRIMINANTS; KERNEL PRINCIPAL COMPONENT ANALYSES (KPCA); LEARNING CLASSIFIERS; LOW-DIMENSIONAL SPACES; MINIMAL REPRESENTATION; STATISTICAL LEARNING;

PRINCIPAL COMPONENT ANALYSIS;

EID: 37249042319     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11414353_7     Document Type: Conference Paper

References (0)