Decentralized detection and classification using kernel methods.
XuanLong NguyenMartin J. WainwrightMichael I. JordanPublished in: ICML (2004)
Keyphrases
- kernel methods
- support vector
- support vector machine
- feature space
- machine learning
- learning problems
- kernel function
- kernel learning
- high dimensional feature space
- multiple kernel learning
- decision trees
- learning tasks
- tree kernels
- text classification
- image classification
- feature vectors
- kernel parameters
- kernel matrix
- kernel matrices
- feature selection
- kernel principal component analysis
- kernel fisher discriminant analysis
- kernel trick
- reproducing kernel hilbert space
- classification process
- generalization ability
- classification method
- support vector machine svm
- classification accuracy
- preprocessing
- feature extraction
- low rank
- class labels
- kernel machines
- loss function
- multi class
- kernel ridge regression
- learning algorithm