Bounds for estimating the parameters of low-rank compound-Gaussian clutter and white Gaussian noise.
Olivier BessonPublished in: ACSSC (2016)
Keyphrases
- low rank
- matrix factorization
- missing data
- convex optimization
- maximum likelihood
- singular value decomposition
- matrix completion
- low rank matrix
- linear combination
- rank minimization
- high dimensional data
- kernel matrix
- singular values
- semi supervised
- low rank matrices
- robust principal component analysis
- matrix decomposition
- high order
- trace norm
- minimization problems
- white gaussian noise
- expectation maximization
- higher order
- denoising