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Volumn , Issue , 2010, Pages
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Analysis of PCA based feature vectors for SVM posture classification
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Author keywords
Decision boundary; Eigenpostures; Matlab Quadratics Programming (QP) solver; Sequential Minimal Optimization (SMO); Support Vector Machines (SVM)
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Indexed keywords
CPU TIME;
DECISION BOUNDARY;
EIGENPOSTURES;
EIGENVALUES;
FEATURE VECTORS;
HUMAN BODY POSTURES;
HUMAN POSTURES;
HUMAN STANDING;
MEASURED PARAMETERS;
POSTURE CLASSIFICATION;
SEQUENTIAL MINIMAL OPTIMIZATION;
STANDING POSTURE;
SUPPORT VECTOR MACHINE TECHNIQUES;
SUPPORT VECTOR MACHINES (SVM);
SVM CLASSIFIERS;
TRAINING PROCESS;
CLASSIFIERS;
EIGENVALUES AND EIGENFUNCTIONS;
FEATURE EXTRACTION;
GEARS;
OPTIMIZATION;
PRINCIPAL COMPONENT ANALYSIS;
SIGNAL PROCESSING;
VECTORS;
SUPPORT VECTOR MACHINES;
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EID: 77956517406
PISSN: None
EISSN: None
Source Type: Conference Proceeding
DOI: 10.1109/CSPA.2010.5545268 Document Type: Conference Paper |
Times cited : (8)
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References (19)
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