Random Graph Embedding and Joint Sparse Regularization for Multi-label Feature Selection.
Haibao LiHongzhi ZhaiPublished in: CoRR (2022)
Keyphrases
- multi label
- graph embedding
- text categorization
- feature selection
- text classification
- dimensionality reduction
- dictionary learning
- multi label classification
- semi supervised
- sparse representation
- image classification
- multi label learning
- low dimensional
- image annotation
- discriminant analysis
- sparse coding
- high dimensional
- data representation
- semi supervised learning
- learning tasks
- k nearest neighbor
- binary classification
- graph cuts
- feature space
- classification accuracy
- knn
- class labels
- support vector machine
- unlabeled data
- support vector
- label information
- feature extraction
- subspace learning
- multi class
- dimension reduction
- active learning
- pattern recognition
- object recognition
- multi task
- computer vision
- feature vectors
- learning process
- feature set
- linear discriminant analysis
- supervised learning
- unsupervised learning
- text mining
- model selection
- learning algorithm