Regularized nonnegative shared subspace learning.
Sunil Kumar GuptaDinh Q. PhungBrett AdamsSvetha VenkateshPublished in: Data Min. Knowl. Discov. (2013)
Keyphrases
- image processing
- subspace learning
- dimensionality reduction
- graph embedding
- objective function
- data representation
- least squares
- manifold learning
- low dimensional
- sparse representation
- sparse coding
- principal component analysis
- semi supervised
- learning algorithm
- nonnegative matrix factorization
- face recognition
- high dimensional data
- subspace learning algorithm
- maximum margin criterion
- computer vision
- neural network
- data points
- linear combination
- high dimensional
- feature space