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ESI工程学领域热点论文(2020年03月) 其他
2020-03-20
Authors:  张桂英
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基于独立成分子空间支持向量机的精神疾病磁共振影像学分类研究 学位论文
, 中国科学院自动化研究所: 中国科学院大学, 2019
Authors:  高爽
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独立成分分析  子空间相似度  支持向量机  磁共振影像  精神疾病分类  
行人分割与识别研究 学位论文
工学博士, 中国科学院自动化研究所: 中国科学院大学, 2019
Authors:  宋纯锋
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行人图像分割,行人识别,步态识别,弱监督学习  
GaitNet: An end-to-end network for gait based human identification 期刊论文
PATTERN RECOGNITION, 2019, 卷号: 96, 期号: 106988, 页码: 11
Authors:  Song, Chunfeng;  Huang, Yongzhen;  Huang, Yan;  Jia, Ning;  Wang, Liang
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Gait recognition  Video-based human identification  End-to-end CNN  Joint learning  
ESI工程学领域热点论文(2019年11月) 其他
2019-11-25
Authors:  张桂英
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Nonlinear Asymmetric Multi-Valued Hashing 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2019, 卷号: 41, 期号: 11, 页码: 2660-2676
Authors:  Da, Cheng;  Meng, Gaofeng;  Xiang, Shiming;  Ding, Kun;  Xu, Shibiao;  Yang, Qing;  Pan, Chunhong
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Asymmetric hashing  multi-valued embeddings  binary sparse representation  nonlinear transformation  
Integrated thermal assembly using hierarchical kernel regression method 期刊论文
ADVANCED ROBOTICS, 2019, 页码: 15
Authors:  Su, Jianhua;  Chen, Bin;  Liu, Chuankai;  Yang, Xu;  Liu, Zhiyong;  Qiao, Hong
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Hierarchical kernel regression  integration thermal assembly model  interference-fit  
Adaptive Attention Annotation Model: Optimizing the Prediction Path through Dependency Fusion 期刊论文
KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS, 2019, 卷号: 13, 期号: 9, 页码: 4665-4683
Authors:  Wang, Fangxin;  Liu, Jie;  Zhang, Shuwu;  Zhang, Guixuan;  Zheng, Yang;  Li, Xiaoqian;  Liang, Wei;  Li, Yuejun
View  |  Adobe PDF(1061Kb)  |  Favorite  |  View/Download:43/4  |  Submit date:2019/10/08
image annotation  multiple dependencies  self-attention  prediction path  Triplet Margin loss  
ESI工程学领域热点论文(2019年07月) 其他
2019-07-18
Authors:  张桂英
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Adversarial Deep Tracking 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2019, 卷号: 29, 期号: 7, 页码: 1998-2011
Authors:  Zhao, Fei;  Wang, Jinqiao;  Wu, Yi;  Tang, Ming
View  |  Adobe PDF(6455Kb)  |  Favorite  |  View/Download:59/23  |  Submit date:2019/04/30
Visual tracking  deep learning  adversarial training  attention