Approximating the Covariance Matrix of GMMs with Low-Rank Perturbations.
Malik Magdon-IsmailJonathan T. PurnellPublished in: IDEAL (2010)
Keyphrases
- low rank
- covariance matrix
- gaussian mixture model
- covariance matrices
- missing data
- linear combination
- convex optimization
- singular value decomposition
- matrix factorization
- principal component analysis
- semi supervised
- high order
- kernel matrix
- sample size
- high dimensional data
- rank minimization
- objective function
- singular values
- maximum likelihood
- eigendecomposition
- clustering method
- low dimensional
- pairwise
- computer vision