scholarly journals A Sparse Singular Value Decomposition Method for High-Dimensional Data

2014 ◽  
Vol 23 (4) ◽  
pp. 923-942 ◽  
Author(s):  
Dan Yang ◽  
Zongming Ma ◽  
Andreas Buja
Keyword(s):  
Singular Value Decomposition ◽  
Decomposition Method ◽  
High Dimensional Data ◽  
Singular Value ◽  
High Dimensional ◽  
Singular Value Decomposition Method ◽  
Value Decomposition

scholarly journals A modified truncation singular value decomposition method for solving ill-posed problems

2018 ◽  
Vol 13 ◽  
pp. 174830181881360 ◽  
Author(s):  
Zhenyu Zhao ◽  
Riguang Lin ◽  
Zehong Meng ◽  
Guoqiang He ◽  
Lei You ◽  
...  
Keyword(s):  
Singular Value Decomposition ◽  
Decomposition Method ◽  
Singular Value ◽  
Numerical Results ◽  
New Method ◽  
Truncated Singular Value Decomposition ◽  
Singular Value Decomposition Method ◽  
Ill Posed ◽  
Value Decomposition

A modified truncated singular value decomposition method for solving ill-posed problems is presented in this paper, in which the solution has a slightly different form. Both theoretical and numerical results show that the limitations of the classical TSVD method have been overcome by the new method and very few additive computations are needed.

scholarly journals A constrained singular value decomposition method that integrates sparsity and orthogonality

PLoS ONE ◽  
2019 ◽  
Vol 14 (3) ◽  
pp. e0211463 ◽  
Author(s):  
Vincent Guillemot ◽  
Derek Beaton ◽  
Arnaud Gloaguen ◽  
Tommy Löfstedt ◽  
Brian Levine ◽  
...  
Keyword(s):  
Singular Value Decomposition ◽  
Decomposition Method ◽  
Singular Value ◽  
Singular Value Decomposition Method ◽  
Value Decomposition
Sign in / Sign up

Export Citation Format

Share Document