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Part-based Structured Representation Learning for Person Re-identification 期刊论文
ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2020, 卷号: 16, 期号: 4, 页码: 22
作者:  Li, Yaoyu;  Yao, Hantao;  Zhang, Tianzhu;  Xu, Changsheng
Adobe PDF(19052Kb)  |  收藏  |  浏览/下载：325/48  |  提交时间：2021/03/08
Person re-identification  representation learning  graph convolutional network  
Hierarchical Fused Model With Deep Learning and Type-2 Fuzzy Learning for Breast Cancer Diagnosis 期刊论文
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2020, 卷号: 28, 期号: 12, 页码: 3204-3218
作者:  Shen, Tianyu;  Wang, Jiangong;  Gou, Chao;  Wang, Fei-Yue
Adobe PDF(3530Kb)  |  收藏  |  浏览/下载：345/76  |  提交时间：2021/03/02
Image segmentation  Biomedical imaging  Fuzzy sets  Breast cancer  Breast cancer  deep learning (DL)  fuzzy classifier (FC)  interval type-2 possibilistic fuzzy c-means (IT2PFCM)  
An Automatic Rehabilitation Assessment System for Hand Function Based on Leap Motion and Ensemble Learning 期刊论文
CYBERNETICS AND SYSTEMS, 2020, 页码: 23
作者:  Li, Chenguang;  Cheng, Long;  Yang, Hongjun;  Zou, Yongxiang;  Huang, Fubiao
Adobe PDF(2555Kb)  |  收藏  |  浏览/下载：331/46  |  提交时间：2021/01/07
Automatic assessment  Brunnstrom assessment  ensemble learning  Fugl-Meyer assessment  hand function assessment  rehabilitation  Leap Motion  
Deep prototypical networks based domain adaptation for fault diagnosis 期刊论文
JOURNAL OF INTELLIGENT MANUFACTURING, 2020, 页码: 11
作者:  Wang, Huanjie;  Bai, Xiwei;  Tan, Jie;  Yang, Jiechao
Adobe PDF(1084Kb)  |  收藏  |  浏览/下载：280/63  |  提交时间：2021/01/06
Bearing  Fault diagnosis  Domain adaptation  Prototype learning  
Domain Adaptation by Class Centroid Matching and Local Manifold Self-Learning 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 卷号: 29, 页码: 9703-9718
作者:  Tian, Lei;  Tang, Yongqiang;  Hu, Liangchen;  Ren, Zhida;  Zhang, Wensheng
Adobe PDF(3443Kb)  |  收藏  |  浏览/下载：385/83  |  提交时间：2021/01/06
Domain adaptation  class centroid matching  local manifold self-learning  
Reducing Calibration Efforts in RSVP Tasks With Multi-Source Adversarial Domain Adaptation 期刊论文
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2020, 卷号: 28, 期号: 11, 页码: 2344-2355
作者:  Wei, Wei;  Qiu, Shuang;  Ma, Xuelin;  Li, Dan;  Wang, Bo;  He, Huiguang
浏览  |  Adobe PDF(2448Kb)  |  收藏  |  浏览/下载：432/116  |  提交时间：2021/01/06
Electroencephalography  Calibration  Correlation  Brain modeling  Task analysis  Feature extraction  Visualization  EEG  RSVP-based BCI  calibration reduction  multi-source domain adaptation  correlation metric learning  
MGCN: Descriptor Learning using Multiscale GCNs 期刊论文
ACM TRANSACTIONS ON GRAPHICS, 2020, 卷号: 39, 期号: 4, 页码: 15
作者:  Wang, Yiqun;  Ren, Jing;  Yan, Dong-Ming;  Guo, Jianwei;  Zhang, Xiaopeng;  Wonka, Peter
Adobe PDF(32624Kb)  |  收藏  |  浏览/下载：372/19  |  提交时间：2021/01/06
Multiscale  Energy Decomposition  Wavelet Convolution  Shape Matching  
Cascaded one-shot deformable convolutional neural networks: Developing a deep learning model for respiratory motion estimation in ultrasound sequences 期刊论文
Medical Image Analysis, 2020, 卷号: 65, 期号: 65, 页码: 101793
作者:  Fei Liu;  Dan Liu;  Jie Tian;  Xiaoyan Xie;  Xin Yang;  Wang K(王坤)
浏览  |  Adobe PDF(3180Kb)  |  收藏  |  浏览/下载：220/61  |  提交时间：2020/11/02
Ultrasound sequence  Respiratory motion estimation  Cascaded Siamese network  One-shot deformable convolution  
Local-Aggregation Graph Networks 期刊论文
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020, 卷号: 42, 期号: 11, 页码: 2874-2886
作者:  Jianlong Chang;  Lingfeng Wang;  Gaofeng Meng;  Shiming Xiang;  Chunhong Pan
浏览  |  Adobe PDF(3090Kb)  |  收藏  |  浏览/下载：287/100  |  提交时间：2020/10/20
Local-aggregation function  local-aggregation graph neural network  non-Euclidean structured signal  
Geometric Rectification of Document Images using Adversarial Gated Unwarping Network 期刊论文
Pattern Recognition, 2020, 卷号: 108, 期号: 108, 页码: 1-13
作者:  Xiyan Liu;  Gaofeng MENG;  Bin FAN;  Shiming Xiang;  Chunhong PAN
浏览  |  Adobe PDF(7916Kb)  |  收藏  |  浏览/下载：311/100  |  提交时间：2020/10/20
Distorted document image  Geometric rectification  Gated module  Deep learning