Discriminative Nonnegative Matrix Factorization for dimensionality reduction.
Mohammadreza BabaeeStefanos TsoukalasMaryam BabaeeGerhard RigollMihai DatcuPublished in: Neurocomputing (2016)
Keyphrases
- nonnegative matrix factorization
- dimensionality reduction
- data representation
- principal component analysis
- feature extraction
- unsupervised learning
- probabilistic latent semantic indexing
- negative matrix factorization
- feature selection
- high dimensional
- matrix factorization
- low dimensional
- least squares
- data points
- semi supervised
- high dimensional data
- feature space
- singular value decomposition
- spectral clustering
- nonnegative matrix
- document clustering
- original data
- pattern recognition
- metric learning
- objective function
- image processing
- discriminative learning
- computer vision
- sparse representation