Sparse and low-dimensional representation with maximum entropy adaptive graph for feature selection.
Ronghua ShangXinlei ZhangJie FengYangyang LiLicheng JiaoPublished in: Neurocomputing (2022)
Keyphrases
- maximum entropy
- low dimensional
- feature selection
- high dimensional
- maximum entropy principle
- markov models
- dimensionality reduction
- minimum cross entropy
- feature space
- conditional random fields
- transformation based learning
- maximum entropy model
- text categorization
- sparse representation
- principle of maximum entropy
- feature extraction
- classification accuracy
- input space
- iterative scaling
- machine learning
- support vector machine
- adjacency matrix
- similarity measure
- support vector
- multi class