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Common and unique multimodal covarying patterns in autism spectrum disorder subtypes 期刊论文
MOLECULAR AUTISM, 2020, 卷号: 11, 期号: 1, 页码: 15
作者:  Qi, Shile;  Morris, Robin;  Turner, Jessica A.;  Fu, Zening;  Jiang, Rongtao;  Deramus, Thomas P.;  Zhi, Dongmei;  Calhoun, Vince D.;  Sui, Jing
Adobe PDF(6135Kb)  |  收藏  |  浏览/下载：280/11  |  提交时间：2021/01/06
Heterogeneity  Autism spectrum disorder  Asperger’  s disorder  Pervasive developmental disorder-not otherwise specified (PDD-NOS)  Autistic disorder  Multimodal fusion  
Skeleton-Based Action Recognition With Multi-Stream Adaptive Graph Convolutional Networks 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 期号: 29, 页码: 9532-9545
作者:  Shi, Lei;  Zhang, Yifan;  Cheng, Jian;  Lu, Hanqing
浏览  |  Adobe PDF(2849Kb)  |  收藏  |  浏览/下载：372/148  |  提交时间：2020/11/05
Skeleton-based action recognition, graph convolutional network, adaptive graph, multi-stream network.  
Decision-Making in Driver-Automation Shared Control: A Review and Perspectives 期刊论文
IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2020, 卷号: 7, 期号: 5, 页码: 1289-1307
作者:  Wang, Wenshuo;  Na, Xiaoxiang;  Cao, Dongpu;  Gong, Jianwei;  Xi, Junqiang;  Xing, Yang;  Wang, Fei-Yue
浏览  |  Adobe PDF(14998Kb)  |  收藏  |  浏览/下载：218/26  |  提交时间：2020/09/07
Automated vehicle  decision-making  human driver  human-vehicle interaction  shared control  
Dynamic Feature Combination by Agreement for Image Classification 期刊论文
Journal of Physics: Conference Series, 2020, 卷号: 1631, 期号: 1
作者:  Li,Chenghua;  Wang,Wanguo;  Liu,Linzhi;  Liang,Tian
Adobe PDF(488Kb)  |  收藏  |  浏览/下载：222/41  |  提交时间：2021/01/07
A Study of Personal Recognition Method Based on EMG Signal 期刊论文
IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS, 2020, 卷号: 14, 期号: 4, 页码: 681-691
作者:  Lu, Lijing;  Mao, Jingna;  Wang, Wuqi;  Ding, Guangxin;  Zhang, Zhiwei
Adobe PDF(3835Kb)  |  收藏  |  浏览/下载：284/42  |  提交时间：2020/09/28
Electromyography  personal identification  personal verification  discrete wavelet transform  ExtraTreesClassifer  continuous wavelet transform  convolutional neural networks  transfer learning  siamese network  
Encoding Primitives Generation Policy Learning for Robotic Arm to Overcome Catastrophic Forgetting in Sequential Multi-tasks Learning 期刊论文
Neural Networks, 2020, 期号: 2020.06.003, 页码: 12
作者:  Xiong, Fangzhou;  Liu, Zhiyong;  Huang, Kaizhu;  Yang, Xu;  Qiao, Hong;  Amir Hussain
Adobe PDF(646Kb)  |  收藏  |  浏览/下载：324/14  |  提交时间：2020/06/09
Sequential multi-tasks learning, Continual learning, Catastrophic forgetting, Robotics  
Self-Supervised Feature Augmentation for Large Image Object Detection 期刊论文
IEEE Transactions on Image Processing, 2020, 卷号: 29, 期号: 0, 页码: 6745-6758
作者:  Pan, Xingjia;  Tang, Fan;  Dong, Weiming;  Gu, Yang;  Song, Zhichao;  Meng, Yiping;  Xu, Pengfei;  Oliver, Deussen;  Xu, Changsheng
Adobe PDF(5411Kb)  |  收藏  |  浏览/下载：285/63  |  提交时间：2020/12/21
object detection  large image  self-supervise  feature augmentation  
Prognostic models for prolonged disorders of consciousness: an integrative review 期刊论文
CELLULAR AND MOLECULAR LIFE SCIENCES, 2020, 期号: 8, 页码: 17
作者:  Song, Ming;  Yang, Yi;  Yang, Zhengyi;  Cui, Yue;  Yu, Shan;  He, Jianghong;  Jiang, Tianzi
浏览  |  Adobe PDF(2724Kb)  |  收藏  |  浏览/下载：327/47  |  提交时间：2020/06/22
Disorders of consciousness  Prognostic model  Outcome  Conscious recovery  Prediction  
Deep Self-Evolution Clustering 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2020, 卷号: 42, 期号: 4, 页码: 809-823
作者:  Chang, Jianlong;  Meng, Gaofeng;  Wang, Lingfeng;  Xiang, Shiming;  Pan, Chunhong
浏览  |  Adobe PDF(4817Kb)  |  收藏  |  浏览/下载：397/86  |  提交时间：2020/06/02
Task analysis  Unsupervised learning  Training  Clustering methods  Pattern analysis  Clustering  deep self-evolution clustering  self-evolution clustering training  deep unsupervised learning  
Color‐Guided Depth Map Super‐Resolution Using a Dual‐Branch Multi‐Scale Residual Network with Channel Interaction 期刊论文
Sensors, 2020, 卷号: 20, 期号: 6, 页码: 1560
作者:  陈睿进;  高伟
浏览  |  Adobe PDF(2336Kb)  |  收藏  |  浏览/下载：255/62  |  提交时间：2020/04/30
Depth Map  Super‐resolution  Guidance  Residual Network  Channel Interaction