Alternating Least-Squares for Low-Rank Matrix Reconstruction.
Dave ZachariahMartin SundinMagnus JanssonSaikat ChatterjeePublished in: IEEE Signal Process. Lett. (2012)
Keyphrases
- low rank matrix
- low rank
- convex optimization
- singular value decomposition
- low rank approximation
- approximation methods
- matrix factorization
- image reconstruction
- sparse matrix
- reconstruction error
- missing data
- high resolution
- stochastic gradient descent
- semi supervised
- data sets
- dimensionality reduction
- least squares
- small number
- k means
- face recognition
- image processing