Low rank detection of multichannel Gaussian signals using a constrained inverse.
Peter StrobachPublished in: ICASSP (4) (1994)
Keyphrases
- low rank
- linear combination
- missing data
- convex optimization
- matrix factorization
- matrix completion
- rank minimization
- semi supervised
- singular value decomposition
- kernel matrix
- high dimensional data
- low rank matrix
- matrix decomposition
- high order
- low rank matrices
- trace norm
- robust principal component analysis
- singular values
- minimization problems
- object detection
- foreground detection
- gaussian mixture model
- signal reconstruction
- multiscale
- feature selection
- neural network