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Generalized Low-Rank Update: Model Parameter Bounds for Low-Rank Training Data Modifications.
Hiroyuki Hanada
Noriaki Hashimoto
Kouichi Taji
Ichiro Takeuchi
Published in:
Neural Comput. (2023)
Keyphrases
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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