Low-rank nonnegative tensor approximation via alternating projections and sketching.
Azamat SultonovSergey A. MatveevStanislav S. BudzinskiyPublished in: Comput. Appl. Math. (2023)
Keyphrases
- low rank
- frobenius norm
- matrix decomposition
- trace norm
- high order
- matrix factorization
- tensor factorization
- low rank matrix
- data matrix
- tensor decomposition
- convex optimization
- missing data
- linear combination
- nonnegative matrix factorization
- low rank approximation
- matrix completion
- singular value decomposition
- semi supervised
- kernel matrix
- rank minimization
- singular values
- binary matrices
- collaborative filtering
- low rank matrices
- linear programming
- higher order
- high dimensional data
- kullback leibler divergence
- low rank matrix approximation
- robust principal component analysis
- negative matrix factorization
- minimization problems
- rows and columns
- principal component analysis
- least squares
- recommender systems
- pairwise
- pattern recognition