Employing multiple-kernel support vector machines for counterfeit banknote recognition

Applied Soft Computing Journal

Volumn 11, Issue 1, 2011, Pages 1439-1447

  Yeh, Chi Yuan ^a   Su, Wen Pin ^a   Lee, Shie Jue ^a  

^a NATIONAL SUN YAT SEN UNIVERSITY   (Taiwan)

Author keywords

Balanced error rate; Banknote recognition; Multiple kernel learning; Semi definite programming; Support vector machine

Indexed keywords

BANKNOTE RECOGNITION; BUSINESS TRANSACTION; EFFICIENT METHOD; ERROR RATE; KERNEL LEARNING; KERNEL MATRICES; KERNEL WEIGHT; LUMINANCE HISTOGRAMS; MATRIX; MULTIPLE KERNELS; NON-NEGATIVITY; OPTIMAL WEIGHT; SDP METHODS; SEMI-DEFINITE PROGRAMMING; SVM CLASSIFIERS; SYSTEM-BASED; TIME AND SPACE;

CRIME; GEARS; OPTIMIZATION; VECTORS;

SUPPORT VECTOR MACHINES;

EID: 77957889304     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2010.04.015     Document Type: Article

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