Feature selection and multi-kernel learning for sparse representation on a manifold.
Jim Jing-Yan WangHalima BensmailXin GaoPublished in: Neural Networks (2014)
Keyphrases
- sparse representation
- kernel learning
- dimensionality reduction
- feature selection
- dictionary learning
- kernel function
- multiple kernel learning
- sparse coding
- low dimensional
- feature space
- kernel matrix
- image classification
- high dimensional data
- face recognition
- high dimensional
- semi supervised
- support vector regression
- kernel methods
- image patches
- signal processing
- image representation
- distance metric
- principal component analysis
- input space
- small number
- machine learning
- metric learning
- pattern recognition
- unsupervised learning
- data representation
- multi task
- missing data
- feature extraction
- linear combination
- pairwise constraints
- text classification