Kernel Methods for Nonlinear Discriminative Data Analysis.
Xiuwen LiuWashington MioPublished in: EMMCVPR (2005)
Keyphrases
- kernel methods
- data analysis
- kernel pca
- high dimensional feature space
- machine learning
- kernel principal component analysis
- kernel function
- learning problems
- support vector
- kernel matrix
- support vector machine
- feature space
- reproducing kernel hilbert space
- learning tasks
- kernel matrices
- data mining
- multiple kernel learning
- kernel fisher discriminant analysis
- graph kernels
- semi supervised
- multiple kernel
- kernel trick
- image processing
- discriminative learning
- nonlinear models
- feature extraction
- kernel learning
- high dimensional data
- special case