Subspace Learning and Feature Selection via Orthogonal Mapping.
Fotios D. MandanasConstantine KotropoulosPublished in: IEEE Trans. Signal Process. (2020)
Keyphrases
- subspace learning
- feature selection
- dimensionality reduction
- manifold learning
- high dimensionality
- high dimensional data
- data representation
- sparse coding
- low dimensional
- principal component analysis
- feature space
- learning algorithm
- face recognition
- semi supervised
- machine learning
- dimension reduction
- feature extraction
- text classification
- feature set
- sparse representation
- data sets
- maximum margin criterion
- support vector machine
- natural images
- singular value decomposition
- co occurrence
- high dimensional
- training data
- kernel learning
- subspace learning algorithm