nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
Biological modeling of human visual system for object recognition using GLoP filters and sparse coding on multi-manifolds
|
Deng, Limiao |
|
2018 |
29 |
6 |
p. 965-977 |
artikel |
2 |
Distributed Kalman filter based on Metropolis–Hastings sampling strategy
|
Hu, Zhen-tao |
|
2018 |
29 |
6 |
p. 1033-1040 |
artikel |
3 |
Extended sparse representation-based classification method for face recognition
|
Peng, Yali |
|
2018 |
29 |
6 |
p. 991-1007 |
artikel |
4 |
Hierarchical convolutional features for end-to-end representation-based visual tracking
|
Zhu, Suguo |
|
2018 |
29 |
6 |
p. 955-963 |
artikel |
5 |
Machine learning for big visual analysis
|
Yu, Jun |
|
2018 |
29 |
6 |
p. 929-931 |
artikel |
6 |
Multitask learning for neural generative question answering
|
Huang, Yanzhou |
|
2018 |
29 |
6 |
p. 1009-1017 |
artikel |
7 |
Panchromatic and multi-spectral image fusion for new satellites based on multi-channel deep model
|
He, Guiqing |
|
2018 |
29 |
6 |
p. 933-946 |
artikel |
8 |
Person re-identification by discriminant analytical least squares metric learning
|
Yang, Zhao |
|
2018 |
29 |
6 |
p. 1019-1031 |
artikel |
9 |
Rank–sparsity balanced representation for subspace clustering
|
Xia, Yuqing |
|
2018 |
29 |
6 |
p. 979-990 |
artikel |
10 |
Two-stream person re-identification with multi-task deep neural networks
|
Hu, Liang |
|
2018 |
29 |
6 |
p. 947-954 |
artikel |