Maximum Correntropy Criterion-Based Sparse Subspace Learning for Unsupervised Feature Selection.
Nan ZhouYangyang XuHong ChengZejian YuanBadong ChenPublished in: IEEE Trans. Circuits Syst. Video Technol. (2019)
Keyphrases
- subspace learning
- unsupervised feature selection
- sparse representation
- dimensionality reduction
- sparse coding
- feature selection
- high dimensional
- negative matrix factorization
- data clustering
- high dimensional data
- low dimensional
- data representation
- manifold learning
- face recognition
- pattern recognition
- principal component analysis
- natural images
- feature space
- high dimensionality
- linear discriminant analysis
- learning algorithm
- image classification
- data points
- unsupervised learning
- generative model
- image patches
- semi supervised
- support vector
- linear combination
- cluster analysis
- model selection
- higher order
- dimension reduction
- nearest neighbor
- support vector machine
- neural network