Semi-supervised Multi-label Dimensionality Reduction via Low Rank Representation.
Yezi LiuPublished in: ICONIP (3) (2018)
Keyphrases
- low rank representation
- multi label
- semi supervised
- dimensionality reduction
- low rank
- multi label classification
- high dimensional data
- semi supervised learning
- text categorization
- subspace learning
- manifold learning
- singular value decomposition
- class labels
- metric learning
- image classification
- graph cuts
- labeled data
- unlabeled data
- high dimensional
- feature extraction
- feature selection
- high dimensionality
- binary classification
- supervised learning
- low dimensional
- unsupervised learning
- pairwise
- image annotation
- label information
- learning tasks
- text classification
- principal component analysis
- label propagation
- pattern recognition
- active learning
- data points
- kernel matrix
- co training
- neural network
- graph construction
- feature space
- matrix factorization
- convex optimization
- training examples
- labeled and unlabeled data
- image features
- data analysis
- dimension reduction
- similarity measure
- prior knowledge
- input space
- k nearest neighbor
- sparse representation