CONVERGENGE ANALYSIS ON SVD-BASED ALGORITHMS FOR TENSOR LOW RANK APPROXIMATIONS
Ph.D
Saved in:
Main Author: | GUAN YU |
---|---|
Other Authors: | MATHEMATICS |
Format: | Theses and Dissertations |
Language: | English |
Published: |
2018
|
Subjects: | |
Online Access: | http://scholarbank.nus.edu.sg/handle/10635/150327 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | National University of Singapore |
Language: | English |
Similar Items
-
Online parameter estimation and compensation of preisach hysteresis by SVD updating
by: Lei, L., et al.
Published: (2014) -
On the computation of the restricted singular value decomposition via the cosine-sine decomposition
by: Chu, D., et al.
Published: (2014) -
Reduced multivariate polynomial-based neural network for automated traffic incident detection
by: Srinivasan, D., et al.
Published: (2014) -
RANDOMIZED ALGORITHMS FOR LEAST SQUARES AND LOW RANK APPROXIMATION PROBLEMS
by: TENG DAN
Published: (2017) -
Industrial fault detection and isolation using Dominant Feature Identification
by: Pang, C.K., et al.
Published: (2014)