Subspace Learning Machine (SLM): Methodology and Performance.
Hongyu FuYijing YangVinod K. MishraC.-C. Jay KuoPublished in: CoRR (2022)
Keyphrases
- subspace learning
- dimensionality reduction
- data representation
- face recognition
- manifold learning
- sparse representation
- learning algorithm
- sparse coding
- high dimensional data
- principal component analysis
- low dimensional
- semi supervised
- fisher criterion
- data sets
- subspace learning algorithm
- maximum margin criterion
- high dimensionality
- support vector machine
- data points
- high dimensional
- support vector