Optimal Exploitation of Subspace Prior Information in Matrix Sensing.
Sajad DaeiFarzan HaddadiArash AminiPublished in: CoRR (2018)
Keyphrases
- prior information
- prior knowledge
- bayesian inference
- high dimensional
- dynamic programming
- prior models
- singular value decomposition
- grassmann manifold
- low dimensional
- feature space
- hyperparameters
- prior model
- optimal solution
- rank minimization
- feature extraction
- dimensionality reduction
- high dimensional data
- feature selection
- worst case
- low rank
- prior distribution
- null space