Efficient low-rank spectrotemporal decomposition using ADMM.
Gabriel SchambergDemba E. BaMark WagnerTodd P. ColemanPublished in: SSP (2016)
Keyphrases
- low rank
- convex optimization
- linear combination
- missing data
- matrix factorization
- low rank matrix
- singular value decomposition
- tensor decomposition
- semi supervised
- matrix completion
- singular values
- robust principal component analysis
- rank minimization
- matrix decomposition
- high dimensional data
- feature extraction
- data mining
- kernel matrix
- minimization problems
- active learning
- binary matrix
- low rank matrices
- data sets