DocumentCode
483486
Title
A new Compact Support Kernel of support vector machines
Author
Dong, Enqing ; Huang, Xiao
Author_Institution
Sch. of Inf. Eng., Shandong Univ. at Weihai, Weihai
fYear
2008
fDate
14-16 Oct. 2008
Firstpage
1
Lastpage
4
Abstract
A new kernel based on the KCS (kernels with compact support) kernel family is proposed. The training time of the support vector machines of the new kernel is shorter than that of the common kernels. The support vector rate of the classifying machines also keeps in a low level. Compared with other classifying kernels, a great deal of experimental results indicates that the new kernel has a better classifying performance in VAD (voice active detection).
Keywords
learning (artificial intelligence); pattern classification; support vector machines; VAD; kernel classification; kernel-compact support function; support vector machine training; voice active detection; Active noise reduction; Filters; Kernel; Machine learning; Signal to noise ratio; Support vector machine classification; Support vector machines; Testing; Working environment noise; Voice Active Detection; kernel functions; support vector machines;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications, 2008. APCC 2008. 14th Asia-Pacific Conference on
Conference_Location
Tokyo
Print_ISBN
978-4-88552-232-1
Electronic_ISBN
978-4-88552-231-4
Type
conf
Filename
4773651
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