Adaptive graph regularization and self-expression for noise-aware feature selection.
Ronghua ShangHaijing ChiYangyang LiLicheng JiaoPublished in: Neurocomputing (2023)
Keyphrases
- feature selection
- spatially adaptive
- graph classification
- solution path
- noise suppression
- feature selection algorithms
- signal to noise ratio
- text categorization
- structured data
- noise level
- noise model
- directed acyclic graph
- noisy data
- model selection
- missing data
- support vector
- classification accuracy
- graph matching
- graph theory
- text classification
- graph laplacian
- graph representation
- feature set
- switching median filter
- feature extraction
- multi class
- wiener filter
- noise free
- noise removal
- gaussian noise
- graph model
- graph mining
- mutual information
- machine learning
- bipartite graph
- noisy images