Non-Negative Matrix Factorization via Low-Rank Stochastic Manifold Optimization.
Ahmed DouikBabak HassibiPublished in: ITA (2020)
Keyphrases
- low rank
- negative matrix factorization
- matrix factorization
- frobenius norm
- stochastic gradient descent
- sparsity constraints
- collaborative filtering
- missing data
- nonnegative matrix factorization
- matrix completion
- recommender systems
- kernel matrix
- linear combination
- convex optimization
- singular values
- tensor factorization
- singular value decomposition
- norm minimization
- semi supervised
- low rank approximation
- high dimensional
- similarity measure
- latent structure
- update rule
- feature space
- document clustering
- sparse representation
- high dimensional data
- low dimensional
- principal component analysis