Non-Negative Matrix Factorization via Low-Rank Stochastic Manifold Optimization.
Ahmed DouikBabak HassibiPublished in: ISIT (2019)
Keyphrases
- low rank
- negative matrix factorization
- matrix factorization
- frobenius norm
- sparsity constraints
- stochastic gradient descent
- nonnegative matrix factorization
- collaborative filtering
- missing data
- matrix completion
- kernel matrix
- recommender systems
- convex optimization
- latent structure
- linear combination
- document clustering
- singular values
- principal component analysis
- manifold learning
- computer vision
- tensor factorization
- norm minimization
- spectral clustering
- reconstruction error
- singular value decomposition
- high order
- sparse representation
- high dimensional data
- generative model
- low dimensional
- high dimensional
- feature space
- pattern recognition