Sparse and robust support vector machine with capped squared loss for large-scale pattern classification.
Huajun WangHongwei ZhangWenqian LiPublished in: Pattern Recognit. (2024)
Keyphrases
- pattern classification
- decision boundary
- support vector machine
- feature extraction
- pattern recognition
- maximum margin
- nearest neighbor rule
- vowel recognition
- fuzzy classifier
- radial basis function neural network
- squared loss
- pattern classification problems
- probabilistic neural network
- support vector machine svm
- radial basis function
- high dimensional
- linear dimensionality reduction
- training data
- image processing
- generalization ability
- feature subset selection
- sparse representation
- reduced set
- kernel function
- human identification
- machine learning