Projected Gradients for Subclass Discriminant Nonnegative Subspace Learning.
Symeon NikitidisAnastasios TefasIoannis PitasPublished in: IEEE Trans. Cybern. (2014)
Keyphrases
- subspace learning
- subspace analysis
- principal component analysis
- discriminant subspace
- low dimensional
- fisher criterion
- locality preserving projections
- graph embedding
- dimensionality reduction
- discriminant analysis
- nonnegative matrix factorization
- subspace learning algorithm
- data representation
- manifold learning
- face recognition
- feature extraction
- sparse representation
- sparse coding
- maximum margin criterion
- linear subspace
- data sets
- learning algorithm
- semi supervised
- linear discriminant analysis
- high dimensional data
- higher order
- least squares
- dimension reduction
- text classification
- linear discriminant
- image retrieval
- pattern recognition
- data mining