Unifying Nuclear Norm and Bilinear Factorization Approaches for Low-Rank Matrix Decomposition.
Ricardo Silveira CabralFernando De la TorreJoão Paulo CosteiraAlexandre BernardinoPublished in: ICCV (2013)
Keyphrases
- low rank
- matrix decomposition
- nuclear norm
- singular value decomposition
- low rank matrix
- matrix factorization
- convex optimization
- linear combination
- matrix completion
- missing data
- rank minimization
- singular values
- kernel matrix
- low rank matrices
- high order
- high dimensional data
- semi supervised
- data matrix
- missing values
- eigendecomposition
- dimensionality reduction
- low rank approximation
- minimization problems
- collaborative filtering
- least squares
- data sets
- principal component analysis
- pattern recognition