nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
A total variation and group sparsity based tensor optimization model for video rain streak removal
|
Wang, Ye-Tao |
|
2019 |
73 |
C |
p. 96-108 |
artikel |
2 |
Double coupled canonical polyadic decomposition of third-order tensors: Algebraic algorithm and relaxed uniqueness conditions
|
Gong, Xiao-Feng |
|
2019 |
73 |
C |
p. 22-36 |
artikel |
3 |
Editorial Board
|
|
|
2019 |
73 |
C |
p. ii |
artikel |
4 |
Editorial to The Special Issue on Tensor Image Processing
|
Liu, Yipeng |
|
2019 |
73 |
C |
p. 1-2 |
artikel |
5 |
High-order tensor completion via gradient-based optimization under tensor train format
|
Yuan, Longhao |
|
2019 |
73 |
C |
p. 53-61 |
artikel |
6 |
Improved structure tensor for fine-grained texture inpainting
|
Yang, Xiuhong |
|
2019 |
73 |
C |
p. 84-95 |
artikel |
7 |
Laplace function based nonconvex surrogate for low-rank tensor completion
|
Xu, Wen-Hao |
|
2019 |
73 |
C |
p. 62-69 |
artikel |
8 |
Linked CP tensor decomposition algorithms for shared and individual feature extraction
|
Zdunek, RafaĆ |
|
2019 |
73 |
C |
p. 37-52 |
artikel |
9 |
Multi-filters guided low-rank tensor coding for image inpainting
|
Liu, Qiegen |
|
2019 |
73 |
C |
p. 70-83 |
artikel |
10 |
On semi-definiteness and minimal H-eigenvalue of a symmetric space tensor using nonnegative polynomial optimization techniques
|
Xu, Y. |
|
2019 |
73 |
C |
p. 3-11 |
artikel |
11 |
Tensor rank learning in CP decomposition via convolutional neural network
|
Zhou, Mingyi |
|
2019 |
73 |
C |
p. 12-21 |
artikel |