Robust Multi-label Feature Selection via Low-dimensional Embedding and Manifold Regularization.
Haohan LuHongmei ChenPublished in: ISKE (2021)
Keyphrases
- multi label
- text categorization
- feature selection
- low dimensional
- manifold regularization
- semi supervised learning
- text classification
- dimension reduction
- graph cuts
- dimensionality reduction
- image classification
- high dimensional
- semi supervised
- binary classification
- unlabeled data
- learning tasks
- high dimensional data
- machine learning
- input space
- high dimensionality
- support vector
- small number
- feature extraction
- knn
- convex relaxation
- feature space
- labeled data
- k nearest neighbor
- image processing
- feature set
- data points
- multi task
- classification accuracy