Sparse high-dimensional fractional-norm support vector machine via DC programming.
Wei GuanAlexander G. GrayPublished in: Comput. Stat. Data Anal. (2013)
Keyphrases
- high dimensional
- support vector machine
- dc programming
- convex functions
- sparse data
- feature space
- lp norm
- low dimensional
- kernel function
- exact penalty
- similarity search
- dimensionality reduction
- svm classifier
- feature selection
- data points
- linear program
- high dimensional data
- machine learning
- feature vectors
- training samples
- kernel methods
- variable selection
- hyperplane
- sparse coding
- input space
- support vector machine svm
- sparse representation
- convex sets
- support vector
- convex programming
- evolutionary algorithm
- higher dimensional
- training set
- cutting plane
- training data
- image processing