Kernel nonnegative matrix factorization with RBF kernel function for face recognition.
Wen-Sheng ChenXian-Kun HuangBinbin FanQian WangBaohua WangPublished in: ICMLC (2017)
Keyphrases
- kernel function
- nonnegative matrix factorization
- face recognition
- rbf kernel
- support vector
- principal component analysis
- original data
- support vector machine
- kernel discriminant analysis
- radial basis function
- kernel methods
- negative matrix factorization
- feature space
- positive definite
- input space
- data representation
- matrix factorization
- kernel matrix
- least squares
- linear discriminant analysis
- sparse representation
- kernel parameters
- kernel pca
- spectral clustering
- high dimensional
- support vectors
- kernel learning
- reproducing kernel hilbert space
- kernel machines
- polynomial kernels
- neural network
- feature selection
- basis functions
- support vector machine svm
- kernel matrices
- document clustering
- kernel trick
- feature set
- optimal kernel
- machine learning
- feature vectors