Feature selection by combining subspace learning with sparse representation.
Debo ChengShichao ZhangXingyi LiuKe SunMing ZongPublished in: Multim. Syst. (2017)
Keyphrases
- subspace learning
- sparse representation
- feature selection
- dimensionality reduction
- sparse coding
- dictionary learning
- face recognition
- high dimensional data
- image classification
- manifold learning
- feature extraction
- linear subspace
- image patches
- high dimensionality
- object tracking
- image representation
- signal processing
- compressive sensing
- robust face recognition
- unsupervised feature selection
- principal component analysis
- support vector
- data representation
- machine learning
- linear discriminant analysis
- low dimensional
- semi supervised
- test images
- unsupervised learning
- model selection
- co occurrence
- data points
- high dimensional
- image processing
- data mining
- sparse coefficients