Bounds for a Mixture of Low-Rank Compound-Gaussian and White Gaussian Noises.
Olivier BessonPublished in: IEEE Trans. Signal Process. (2016)
Keyphrases
- low rank
- gaussian distribution
- matrix factorization
- rank minimization
- missing data
- singular value decomposition
- convex optimization
- low rank matrix
- maximum likelihood
- gaussian mixture model
- data sets
- gaussian noise
- mixture model
- high dimensional data
- robust principal component analysis
- kernel matrix
- linear combination
- low dimensional
- small number
- moving objects
- data analysis
- data mining