Novel Kernels and Kernel PCA for Pattern Recognition.
Jason C. IsaacsSimon Y. FooAnke Meyer-BäsePublished in: CIRA (2007)
Keyphrases
- learning algorithm
- kernel pca
- pattern recognition
- kernel methods
- machine learning
- kernel function
- gram matrix
- kernel principal component analysis
- dimensionality reduction
- kernel fisher discriminant analysis
- feature space
- feature extraction
- kernel matrix
- laplacian eigenmaps
- principal component analysis
- learning tasks
- face recognition
- input space
- computer vision
- support vector
- kernel learning
- multiple kernel
- image processing
- spectral clustering
- support vector machine
- positive definite
- high dimensional feature space
- support vector machine svm
- feature selection
- linear discriminant analysis
- principal components
- multiple kernel learning
- neural network
- high dimensional