Generalized Low-Rank Update: Model Parameter Bounds for Low-Rank Training Data Modifications.
Hiroyuki HanadaNoriaki HashimotoKouichi TajiIchiro TakeuchiPublished in: Neural Comput. (2023)
Keyphrases
- low rank
- convex optimization
- missing data
- low rank matrix
- matrix factorization
- high order
- rank minimization
- matrix completion
- linear combination
- high dimensional data
- matrix decomposition
- training data
- non rigid structure from motion
- semi supervised
- singular value decomposition
- objective function
- kernel matrix
- low rank matrices
- probabilistic model
- training set
- minimization problems
- data sets
- robust principal component analysis
- approximation methods
- singular values
- nonnegative matrix factorization
- super resolution
- decision trees
- machine learning
- neural network