Low-rank nonnegative tensor approximation via alternating projections and sketching.
Azamat SultonovSergey A. MatveevStanislav S. BudzinskiyPublished in: CoRR (2022)
Keyphrases
- low rank
- frobenius norm
- matrix decomposition
- trace norm
- high order
- data matrix
- low rank matrix
- tensor decomposition
- matrix factorization
- matrix completion
- linear combination
- missing data
- convex optimization
- tensor factorization
- low rank approximation
- kernel matrix
- singular value decomposition
- semi supervised
- higher order
- nonnegative matrix factorization
- high dimensional data
- rank minimization
- binary matrices
- minimization problems
- low rank matrix approximation
- multi task
- machine learning
- binary matrix
- low rank matrices
- singular values
- kullback leibler divergence
- dimensionality reduction
- objective function
- norm minimization
- reconstruction error
- data representation
- collaborative filtering
- feature extraction