Semi-supervised Feature Selection Using Sparse Laplacian Support Vector Machine.
Li ZhangXiaohan ZhengZhiqiang XuPublished in: NCAA (2020)
Keyphrases
- semi supervised feature selection
- support vector machine
- sparse coding
- feature selection
- graph classification
- sparse representation
- manifold regularization
- natural images
- svm classifier
- support vector
- feature space
- semi supervised learning
- support vector machine svm
- machine learning
- training data
- linear combination
- generative model
- kernel function
- kernel methods
- semi supervised
- unlabeled data
- vector space
- visual words
- image representation
- high dimensional