Multi-label feature selection via feature manifold learning and sparsity regularization.
Zhiling CaiWilliam ZhuPublished in: Int. J. Mach. Learn. Cybern. (2018)
Keyphrases
- multi label
- manifold learning
- text categorization
- feature selection
- dimensionality reduction
- text classification
- dimension reduction
- multi label classification
- feature extraction
- feature set
- image classification
- feature space
- feature subset
- low dimensional
- high dimensional
- semi supervised
- graph cuts
- high dimensional data
- knn
- classification accuracy
- feature vectors
- class labels
- k nearest neighbor
- high dimensionality
- sparse representation
- support vector machine
- learning algorithm
- semi supervised learning
- unsupervised learning
- machine learning
- labeled data
- pattern recognition
- learning tasks
- face recognition
- principal component analysis
- image processing
- multi class