E-LIB Suche - Ergebnisse für: Qin, Anyong

1

Deep Updated Subspace Networks for Few-Shot Remote Sensing ..:

Qin, Anyong ; Chen, Fuyang ; Li, Qiang...
IEEE Transactions on Geoscience and Remote Sensing. 62 (2024) - p. 1-14 , 2024

Link: https://doi.org/10.1109/..

2

Change-Aware Cascaded Dual-Decoder Network for Remote Sensi..:

Yang, Feng ; Yuan, Yifeng ; Qin, Anyong...
IEEE Transactions on Geoscience and Remote Sensing. 62 (2024) - p. 1-12 , 2024

Link: https://doi.org/10.1109/..

3

Few-Shot Learning With Prototype Rectification for Cross-Do..:

Qin, Anyong ; Yuan, Chaoqi ; Li, Qiang...
IEEE Transactions on Geoscience and Remote Sensing. 62 (2024) - p. 1-15 , 2024

Link: https://doi.org/10.1109/..

4

Distribution preserving-based deep semi-NMF for data repres..:

Qin, Anyong ; Tan, Zhuolin ; Tan, Xingli...
Neurocomputing. 524 (2023) - p. 69-83 , 2023

Link: https://doi.org/10.1016/..

5

Distance Constraint-Based Generative Adversarial Networks f..:

Qin, Anyong ; Tan, Zhuolin ; Wang, Ran...
IEEE Transactions on Geoscience and Remote Sensing. 61 (2023) - p. 1-16 , 2023

Link: https://doi.org/10.1109/..

6

Multiscale Spatio-Temporal Network for Aerial Video Event R..:

, In: IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium,

Yang, Feng ; Zhang, Jian ; Zhao, Yue.. - p. 7835-7838 , 2022

Link: https://doi.org/10.1109/..

7

Active Learning for Hyperspectral Image Classification via ..:

, In: 2022 IEEE International Conference on Image Processing (ICIP),

Sun, Yongqing ; Qin, Anyong ; Bandoh, Yukihiro.. - p. 2576-2580 , 2022

Link: https://doi.org/10.1109/..

8

Accurate Instance Segmentation for Remote Sensing Images vi..:

Yang, Feng ; Yuan, Xiangyue ; Ran, Jie...
Remote Sensing. 13 (2021) 23 - p. 4774 , 2021

Link: https://doi.org/10.3390/..

9

Low-Rank Matrix Recovery from Noise via an MDL Framework-Ba..:

Qin, Anyong ; Xian, Lina ; Yang, Yongliang..
Sensors. 20 (2020) 21 - p. 6111 , 2020

Link: https://doi.org/10.3390/..

10

A cost-sensitive meta-learning classifier: SPFCNN-Miner:

Zhao, Linchang ; Shang, Zhaowei ; Qin, Anyong...
Future Generation Computer Systems. 100 (2019) - p. 1031-1043 , 2019

Link: https://doi.org/10.1016/..

11

A Multiscale Image Denoising Algorithm Based on Dilated Res..:

, In: Image and Graphics Technologies and Applications; Communications in Computer and Information Science,

Liu, Chang ; Shang, Zhaowei ; Qin, Anyong - p. 193-203 , 2019

Link: https://doi.org/10.1007/..

12

Using Graph-Based Ensemble Learning to Classify Imbalanced ..:

, In: 2017 3rd IEEE International Conference on Cybernetics (CYBCONF),

Qin, Anyong ; Shang, Zhaowei ; Tian, Jinyu... - p. 1-6 , 2017

Link: https://doi.org/10.1109/..

13

Low-Rank Matrix Recovery from Noise via an MDL Framework-ba..:

Qin, Anyong ; Xian, Lina ; Yang, Yongliang..
http://arxiv.org/abs/2009.08297. , 2020

Link: http://arxiv.org/abs/200..

14

Learning a Deep Part-based Representation by Preserving Dat..:

Qin, Anyong ; Shang, Zhaowei ; Tan, Zhuolin..
http://arxiv.org/abs/2009.08246. , 2020

Link: http://arxiv.org/abs/200..

15

A Multiscale Image Denoising Algorithm Based On Dilated Res..:

Liu, Chang ; Shang, Zhaowei ; Qin, Anyong
http://arxiv.org/abs/1812.09131. , 2018

Link: http://arxiv.org/abs/181..