Reduced-Set Kernel Principal Components Analysis for Improving the Training and Execution Speed of Kernel Machines.
Hassan A. KingraviPatricio A. VelaAlexandar GrayPublished in: CoRR (2015)
Keyphrases
- kernel machines
- reduced set
- principal components analysis
- support vector
- execution speed
- support vector machine
- kernel function
- linear discriminant analysis
- learning machines
- support vectors
- training set
- svm classifier
- training examples
- kernel methods
- training algorithm
- dimensionality reduction
- training process
- feature selection
- principal components
- classification accuracy
- covariance matrix
- support vector machine svm
- feature extraction
- radial basis function
- generalization ability
- feature space
- semi supervised
- loss function
- kernel learning
- multiple kernel learning
- machine learning
- k nearest neighbor
- cross validation
- high dimensional
- knn
- learning problems