A training algorithm for sparse LS-SVM using Compressive Sampling.
Jie YangAbdesselam BouzerdoumSon Lam PhungPublished in: ICASSP (2010)
Keyphrases
- training algorithm
- ls svm
- compressive sampling
- compressive sensing
- support vector machine
- rbf neural network
- compressed sensing
- back propagation
- neural network
- radial basis function
- least squares
- sparse representation
- random projections
- image reconstruction
- variable selection
- generalization ability
- support vector
- bp neural network
- cross validation
- prediction model
- fault diagnosis
- learning rate
- multilayer perceptron
- support vector machine svm
- k nearest neighbor
- dimensionality reduction
- high dimensional
- feature space
- sparse approximation
- image processing
- feature selection
- knn
- machine learning