Sparse representation for kernel function selection of support vector machine.
Liming LiangJian WuZhen ZhongSha ZhuPublished in: Int. J. Auton. Adapt. Commun. Syst. (2018)
Keyphrases
- kernel function
- sparse representation
- support vector machine
- dictionary learning
- kernel methods
- support vector
- sparse coding
- svm classifier
- feature space
- input space
- multi class
- image classification
- support vector regression
- face recognition
- svm classification
- dimensionality reduction
- signal processing
- support vector machine svm
- high dimensional data
- random projections
- kernel matrix
- high dimensional feature space
- image representation
- hyperplane
- positive definite
- image patches
- high dimensional
- multiple kernel learning
- kernel learning
- machine learning
- support vectors
- feature vectors
- reproducing kernel hilbert space
- feature selection
- gaussian kernels
- training set
- sparse coefficients
- kernel machines
- training data
- data mining