Kernel PLS-SVC for Linear and Nonlinear Classification.
Roman RosipalLeonard J. TrejoBryan MatthewsPublished in: ICML (2003)
Keyphrases
- support vector
- classification accuracy
- decision trees
- feature space
- text classification
- image classification
- feature vectors
- partial least squares regression
- machine learning
- generalization ability
- classification algorithm
- kernel function
- supervised learning
- preprocessing
- feature extraction
- feature selection
- pattern recognition
- unsupervised learning
- least squares support vector machine
- partial least squares
- ls svm
- classification scheme
- data sets
- support vector machine
- class separability
- svm classification
- kernel machines
- multiple kernel learning
- dimension reduction
- classification method
- svm classifier
- benchmark datasets
- video sequences
- support vector machine svm
- training samples
- bit rate
- model selection
- high dimensional