First-Order Perturbation Analysis of the SECSI Framework for the Approximate CP Decomposition of 3-D Noise-Corrupted Low-Rank Tensors.
Sher Ali CheemaEmilio Rafael BaldaYao ChengMartin HaardtAmir WeissArie YeredorPublished in: CoRR (2017)
Keyphrases
- low rank
- convex optimization
- matrix factorization
- missing data
- singular value decomposition
- data sets
- matrix completion
- higher order
- linear combination
- high order
- robust principal component analysis
- low rank matrices
- rank minimization
- interior point methods
- recommender systems
- learning process
- training data
- image processing