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IJON
2008
173views more  IJON 2008»
13 years 5 months ago
Support vector machine classification for large data sets via minimum enclosing ball clustering
Support vector machine (SVM) is a powerful technique for data classification. Despite of its good theoretic foundations and high classification accuracy, normal SVM is not suitabl...
Jair Cervantes, Xiaoou Li, Wen Yu, Kang Li
WILF
2005
Springer
185views Fuzzy Logic» more  WILF 2005»
13 years 10 months ago
SVM Classification of Neonatal Facial Images of Pain
This paper reports experiments that explore performance differences in two previous studies that investigated SVM classification of neonatal pain expressions using the Infant COPE ...
Sheryl Brahnam, Chao-Fa Chuang, Frank Y. Shih, Mel...
ICPR
2008
IEEE
13 years 11 months ago
Pre-extracting method for SVM classification based on the non-parametric K-NN rule
With the increase of the training set’s size, the efficiency of support vector machine (SVM) classifier will be confined. To solve such a problem, a novel preextracting method f...
Deqiang Han, Chongzhao Han, Yi Yang, Yu Liu, Wenta...
ICPR
2004
IEEE
14 years 6 months ago
ICA-FX Features for Classification of Singing Voice and Instrumental Sound
This paper describes a new approach in locating the segments of singing voice in pop musical songs. Initially, GLR distance measure is employed to temporally detect the boundaries...
Chong-Wah Ngo, Rynson W. H. Lau, Tat-Wan Leung