Low-rank revealing UTV decompositions.
Ricardo D. FierroPer Christian HansenPublished in: Numer. Algorithms (1997)
Keyphrases
- low rank
- singular value decomposition
- matrix decomposition
- matrix factorization
- missing data
- convex optimization
- linear combination
- low rank matrix
- matrix completion
- kernel matrix
- rank minimization
- high order
- minimization problems
- singular values
- least squares
- high dimensional data
- collaborative filtering
- trace norm
- low rank matrices
- semi supervised
- robust principal component analysis
- low rank approximation
- principal component analysis
- data matrix
- total variation
- low rank representation
- face recognition