Robust unsupervised feature selection via sparse and minimum-redundant subspace learning with dual regularization.
Congying ZengHongmei ChenTianrui LiJihong WanPublished in: Neurocomputing (2022)
Keyphrases
- subspace learning
- norm minimization
- sparse representation
- unsupervised feature selection
- sparse coding
- dimensionality reduction
- high dimensional
- image classification
- feature selection
- high dimensional data
- manifold learning
- low dimensional
- face recognition
- natural images
- data representation
- feature space
- linear combination
- computer vision
- feature extraction
- pattern recognition
- principal component analysis
- least squares
- image representation
- data clustering
- machine learning
- object recognition
- negative matrix factorization
- semi supervised
- data points