Common Mode Patterns for Supervised Tensor Subspace Learning.
Konstantinos MakantasisAnastasios D. DoulamisNikolaos DoulamisAthanasios VoulodimosPublished in: CoRR (2019)
Keyphrases
- subspace learning
- subspace learning algorithm
- neighborhood preserving embedding
- dimensionality reduction
- learning algorithm
- manifold learning
- semi supervised
- maximum margin criterion
- face recognition
- data representation
- low dimensional
- high dimensional data
- principal component analysis
- tensor analysis
- sparse representation
- data sets
- sparse coding
- appearance modeling
- data mining
- supervised learning
- data points
- image processing
- euclidean space
- computer vision
- feature selection
- locality preserving projections
- pattern recognition
- feature space
- linear discriminant analysis
- higher order