Optimizing the Gaussian kernel function with the formulated kernel target alignment criterion for two-class pattern classification.
Shangping ZhongDaya ChenQiaofen XuTianshun ChenPublished in: Pattern Recognit. (2013)
Keyphrases
- kernel function
- pattern classification
- reproducing kernel hilbert space
- rbf kernel
- kernel methods
- support vector
- polynomial kernels
- gaussian kernels
- feature space
- feature extraction
- support vector machine
- gaussian kernel
- input space
- positive definite
- decision boundary
- kernel parameters
- discriminant embedding
- kernel matrix
- svm classifier
- pattern recognition
- kernel learning
- high dimensional feature space
- kernel pca
- kernel discriminant analysis
- hyperplane
- kernel trick
- feature set
- kernel machines
- high dimensional
- positive semidefinite
- dot product
- support vectors
- optimal kernel
- kernel principal component analysis
- data mining
- multiple kernel learning
- kernel based clustering