Joint Active Learning with Feature Selection via CUR Matrix Decomposition.
Changsheng LiXiangfeng WangWeishan DongJunchi YanQingshan LiuHongyuan ZhaPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (2019)
Keyphrases
- matrix decomposition
- active learning
- feature selection
- low rank
- nonnegative matrix factorization
- semi supervised
- singular values
- singular value decomposition
- low rank approximation
- low rank matrix
- machine learning
- text categorization
- latent structure
- linear combination
- data summarization
- high order
- feature space
- matrix factorization
- feature set
- labeled data
- learning algorithm
- missing data
- convex optimization
- dimensionality reduction
- text classification
- model selection
- principal component analysis
- feature extraction
- high dimensionality
- learning process
- supervised learning
- data representation
- negative matrix factorization
- support vector
- face recognition
- high dimensional data
- least squares
- data sets