Diagonal and low-rank decompositions and fitting ellipsoids to random points.
James SaundersonPablo A. ParriloAlan S. WillskyPublished in: CDC (2013)
Keyphrases
- low rank
- singular value decomposition
- matrix decomposition
- missing data
- convex optimization
- low rank matrix
- matrix factorization
- linear combination
- matrix completion
- semi supervised
- least squares
- kernel matrix
- rank minimization
- singular values
- high order
- high dimensional data
- minimization problems
- trace norm
- low rank approximation
- data matrix
- low rank matrices
- neural network
- robust principal component analysis
- data points
- covariance matrix
- missing values
- principal component analysis