Accelerating Multi-Label Feature Selection Based on Low-Rank Approximation.
Hyunki LimJae-Sung LeeDae-Won KimPublished in: IEICE Trans. Inf. Syst. (2016)
Keyphrases
- multi label
- text categorization
- low rank approximation
- feature selection
- text classification
- singular value decomposition
- subspace learning
- learning tasks
- image classification
- kernel matrix
- low rank
- spectral clustering
- feature space
- dimensionality reduction
- graph cuts
- machine learning
- support vector
- multi class
- knn
- convex relaxation
- k nearest neighbor
- class labels
- support vector machine
- kernel function
- unlabeled data
- model selection
- convex optimization
- text mining
- multi task
- metric learning
- high dimensional
- similarity measure
- learning algorithm