A General Approach for Achieving Supervised Subspace Learning in Sparse Representation.
Jianshun SangDezhong PengYongsheng SangPublished in: IEEE Access (2019)
Keyphrases
- subspace learning
- sparse representation
- sparse coding
- dictionary learning
- subspace learning algorithm
- dimensionality reduction
- face recognition
- manifold learning
- semi supervised
- learning algorithm
- unsupervised learning
- image patches
- image classification
- compressive sensing
- linear subspace
- signal processing
- high dimensional data
- principal component analysis
- data representation
- machine learning
- decision trees
- pairwise
- supervised learning
- object tracking
- image representation
- neural network
- pattern recognition
- dimension reduction
- feature selection