Sparse approximation using least squares support vector machines.
Johan A. K. SuykensLukas LukasJoos VandewallePublished in: ISCAS (2000)
Keyphrases
- sparse approximation
- least squares support vector machine
- ls svm
- least squares
- variable selection
- input variables
- cross validation
- parameter estimation
- support vector machine
- prediction model
- generalization ability
- improved algorithm
- rbf neural network
- support vector
- linear combination
- maximum likelihood
- svm classifier
- small number
- machine learning
- fuzzy rules
- sparse coding
- optical flow
- high dimensional