Performance evaluation of multiple classification of the ultrasonic supraspinatus images by using ML, RBFNN and SVM classifiers

Expert Systems with Applications

Volumn 37, Issue 6, 2010, Pages 4146-4155

  Horng, Ming Huwi ^a  

^a NATIONAL PINGTUNG UNIVERSITY   (Taiwan)

Author keywords

Error correcting output codes; Fuzzy support vector machine; Maximum likelihood classifier; Mutual information; Radial basis function neural network; Ultrasonic supraspinatus image

Indexed keywords

ERROR CORRECTING OUTPUT CODE; FUZZY SUPPORT VECTOR MACHINES; MAXIMUM LIKELIHOOD CLASSIFIERS; MUTUAL INFORMATIONS; RADIAL BASIS FUNCTION NEURAL NETWORK; RADIAL BASIS FUNCTION NEURAL NETWORKS;

ATTITUDE CONTROL; CLASSIFIERS; FEATURE EXTRACTION; FUNCTION EVALUATION; IMAGE RETRIEVAL; MAXIMUM LIKELIHOOD; RADIAL BASIS FUNCTION NETWORKS; STEREOPHONIC BROADCASTING; SUPPORT VECTOR MACHINES; ULTRASONICS;

NEURAL NETWORKS;

EID: 77549085753     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2009.11.008     Document Type: Article

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