Optimization of principal component analysis and support vector machine for the recognition of infant cry with asphyxia

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Optimization of principal component analysis and support vector machine for the recognition of infant cry with asphyxia

The optimization of principal component analysis-support vector machine (PCA-SVM) for recognizing infant cry with asphyxia is presented in this paper. Three types of PCA selection techniques such as cumulative percent of variance, eigenvalue-one-criterion and scree test were employed to select signi...

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Bibliographic Details
Published in:	International Journal of Computers and Applications
Main Author:	Sahak R.; Mansor W.; Lee K.Y.; Zabidi A.; Yassin A.I.M.
Format:	Article
Language:	English
Published:	2013
Online Access:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-84896831628&doi=10.2316%2fJournal.202.2013.2.202-3456&partnerID=40&md5=df5b7dde5c736068171131dd615c7c6d

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