Low-rank physical model recovery from low-rank signal approximation.
Charles Ethan HayesJames H. McClellanWaymond R. ScottPublished in: ICASSP (2017)
Keyphrases
- low rank
- missing data
- low rank matrix
- linear combination
- rank minimization
- convex optimization
- matrix factorization
- matrix decomposition
- matrix completion
- high order
- singular value decomposition
- semi supervised
- tensor decomposition
- probabilistic model
- non rigid structure from motion
- high dimensional data
- image processing
- robust principal component analysis
- kernel matrix
- low rank approximation
- trace norm
- small number
- signal processing
- dimensionality reduction
- collaborative filtering