Scaling Up Sparse Support Vector Machine by Simultaneous Feature and Sample Reduction.
Weizhong ZhangBin HongJieping YeDeng CaiXiaofei HeJie WangPublished in: CoRR (2016)
Keyphrases
- support vector machine
- small sample
- feature vectors
- sparse data
- k nearest neighbor
- reduced set
- image features
- generalization ability
- knn
- high dimensional
- svm classification
- machine learning
- training data
- multi class
- rough sets
- input features
- instance selection
- neural network
- multiple features
- multi class support vector machines
- sparse coding
- classification method
- sparse representation
- feature set
- training set
- image sequences
- feature selection
- learning algorithm