| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
Action recognition by joint learning
|
Yuan, Yuan
|
|
2016
|
|
P2 |
p. 77-85
|
artikel
|
| 2 |
Cross-domain action recognition via collective matrix factorization with graph Laplacian regularization
|
Tang, Jun
|
|
2016
|
|
P2 |
p. 119-126
|
artikel
|
| 3 |
Cross-view action recognition by cross-domain learning
|
Nie, Weizhi
|
|
2016
|
|
P2 |
p. 109-118
|
artikel
|
| 4 |
3D-based Deep Convolutional Neural Network for action recognition with depth sequences
|
Liu, Zhi
|
|
2016
|
|
P2 |
p. 93-100
|
artikel
|
| 5 |
Deep and fast: Deep learning hashing with semi-supervised graph construction
|
Song, Jingkuan
|
|
2016
|
|
P2 |
p. 101-108
|
artikel
|
| 6 |
Dual many-to-one-encoder-based transfer learning for cross-dataset human action recognition
|
Xu, Tiantian
|
|
2016
|
|
P2 |
p. 127-137
|
artikel
|
| 7 |
Dynamic texture recognition with video set based collaborative representation
|
Xie, Jin
|
|
2016
|
|
P2 |
p. 86-92
|
artikel
|
| 8 |
From handcrafted to learned representations for human action recognition: A survey
|
Zhu, Fan
|
|
2016
|
|
P2 |
p. 42-52
|
artikel
|
| 9 |
Handcrafted vs. learned representations for human action recognition
|
Zhen, Xiantong
|
|
2016
|
|
P2 |
p. 39-41
|
artikel
|
| 10 |
Robust geometric ℓ p -norm feature pooling for image classification and action recognition
|
Li, Teng
|
|
2016
|
|
P2 |
p. 64-76
|
artikel
|
| 11 |
Statistical adaptive metric learning in visual action feature set recognition
|
Dai, Shuanglu
|
|
2016
|
|
P2 |
p. 138-148
|
artikel
|
| 12 |
Towards optimal VLAD for human action recognition from still images
|
Zhang, Lei
|
|
2016
|
|
P2 |
p. 53-63
|
artikel
|
| 13 |
Using the conflict in Dempster–Shafer evidence theory as a rejection criterion in classifier output combination for 3D human action recognition
|
Perez, Alexandre
|
|
2016
|
|
P2 |
p. 149-157
|
artikel
|
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