Low-Rank and Low-Order Decompositions for Local System Identification.
Nikolai MatniAnders RantzerPublished in: CoRR (2014)
Keyphrases
- low order
- similarity measure
- low rank
- high order
- linear combination
- singular value decomposition
- matrix decomposition
- higher order
- pairwise
- low rank matrix
- markov models
- convex optimization
- singular values
- missing data
- small number
- rank minimization
- matrix factorization
- basis functions
- numerical solution
- semi supervised
- markov random field
- principal component analysis
- partial differential equations
- high dimensional data
- least squares
- state space
- pattern recognition