Robust de-noising by kernel PCA

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

Volumn 2415 LNCS, Issue , 2002, Pages 739-744

  Takahashi, Takashi ^a   Kurita, Takio ^b  

^a RYUKOKU UNIVERSITY   (Japan)

^b NATIONAL INSTITUTE OF ADVANCED INDUSTRIAL SCIENCE AND TECHNOLOGY AIST   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

NEURAL NETWORKS; STATISTICS; FEATURE EXTRACTION;

DATA VECTORS; DE-NOISING; FACE IMAGES; KERNEL PCA; KERNEL PRINCIPAL COMPONENT ANALYSES (KPCA); NONLINEAR FEATURES; HEIDELBERG;

PRINCIPAL COMPONENT ANALYSIS;

EID: 84902173149     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-46084-5_120     Document Type: Conference Paper

References (7)

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