Low-rank binary matrix approximation in column-sum norm.
Fedor V. FominPetr A. GolovachFahad PanolanKirill SimonovPublished in: CoRR (2019)
Keyphrases
- binary matrix
- low rank
- frobenius norm
- low rank approximation
- binary matrices
- matrix factorization
- trace norm
- low rank matrices
- robust principal component analysis
- missing data
- linear combination
- matrix completion
- convex optimization
- matrix decomposition
- singular value decomposition
- low rank matrix
- nuclear norm
- kernel matrix
- high order
- high dimensional data
- semi supervised
- rank minimization
- convex functions
- objective function
- data matrix
- norm minimization
- machine learning
- approximation methods
- nonnegative matrix factorization
- higher order
- collaborative filtering
- nearest neighbor
- active learning
- recommender systems