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Volumn 42, Issue 11, 2009, Pages 2353-2362
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Theoretical analysis on feature extraction capability of class-augmented PCA
a
ERI
(South Korea)
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Author keywords
CA PCA (class augmented principal component analysis); Class information; Classification; Feature extraction; PCA (principal component analysis)
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Indexed keywords
CA-PCA (CLASS-AUGMENTED PRINCIPAL COMPONENT ANALYSIS);
CLASS INFORMATION;
CLASSIFICATION;
DATA SETS;
EFFECT OF PARAMETERS;
ENCODED INFORMATION;
EXTRACTING FEATURES;
EXTRACTION CAPABILITY;
FEATURE EXTRACTION METHODS;
PCA (PRINCIPAL COMPONENT ANALYSIS);
REAL PROBLEMS;
CLASSIFICATION (OF INFORMATION);
FEATURE EXTRACTION;
PARAMETER ESTIMATION;
PRINCIPAL COMPONENT ANALYSIS;
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EID: 67649587128
PISSN: 00313203
EISSN: None
Source Type: Journal
DOI: 10.1016/j.patcog.2009.04.011 Document Type: Article |
Times cited : (36)
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References (13)
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