Theoretical Performance of Low Rank Adaptive Filters in the Large Dimensional Regime.
Alice CombernouxFrédéric PascalGuillaume GinolhacMarc LesturgiePublished in: IEEE Trans. Aerosp. Electron. Syst. (2019)
Keyphrases
- low rank
- convex optimization
- missing data
- low rank matrix
- linear combination
- matrix completion
- matrix factorization
- rank minimization
- singular value decomposition
- kernel matrix
- matrix decomposition
- high dimensional data
- high order
- trace norm
- low rank matrices
- semi supervised
- singular values
- data sets
- robust principal component analysis
- minimization problems
- data matrix
- higher order
- machine learning