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EDP: An Efficient Decomposition and Pruning Scheme for Convolutional Neural Network Compression 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 32, 期号: 0, 页码: 0
作者:  Ruan, Xiaofeng;  Liu, Yufan;  Yuan, Chunfeng;  Li, Bing;  Hu, Weiming;  Li, Yangxi;  Maybank, Stephen
Adobe PDF(3625Kb)  |  收藏  |  浏览/下载：285/43  |  提交时间：2021/06/17
Data-driven  low-rank decomposition  model compression and acceleration  structured pruning  
A Mutual Multi-Scale Triplet Graph Convolutional Network for Classification of Brain Disorders Using Functional or Structural Connectivity 期刊论文
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2021, 卷号: 40, 期号: 4, 页码: 1279-1289
作者:  Yao, Dongren;  Sui, Jing;  Wang, Mingliang;  Yang, Erkun;  Jiaerken, Yeerfan;  Luo, Na;  Yap, Pew-Thian;  Liu, Mingxia;  Shen, Dinggang
Adobe PDF(2425Kb)  |  收藏  |  浏览/下载：387/68  |  提交时间：2021/05/17
Functional magnetic resonance imaging  Convolution  Diseases  Fuses  Brain modeling  Neuroimaging  White matter  Brain connectivity  graph convolutional network  triplet  classification  
Multi-subject data augmentation for target subject semantic decoding with deep multi-view adversarial learning 期刊论文
INFORMATION SCIENCES, 2021, 卷号: 547, 页码: 1025-1044
作者:  Li, Dan;  Du, Changde;  Wang, Shengpei;  Wang, Haibao;  He, Huiguang
Adobe PDF(2428Kb)  |  收藏  |  浏览/下载：339/47  |  提交时间：2021/03/02
Data augmentation  Semantic decoding  Multi-view adversarial learning  Sparse reconstruction relation  
Tensor Multi-Task Learning for Person Re-Identification 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 卷号: 29, 期号: 1, 页码: 2463-2477
作者:  Zhang, Zhizhong;  Xie, Yuan;  Zhang, Wensheng;  Tang, Yongqiang;  Tian, Qi
浏览  |  Adobe PDF(1444Kb)  |  收藏  |  浏览/下载：331/57  |  提交时间：2020/03/30
Cameras  Task analysis  Measurement  Visualization  Training  Computational modeling  Person re-identification  multi-task learning  tensor optimization  
Effective Image Retrieval via Multilinear Multi-Index Fusion 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2019, 卷号: 21, 期号: 11, 页码: 2878-2890
作者:  Zhang, Zhizhong;  Xie, Yuan;  Zhang, Wensheng;  Tian, Qi
浏览  |  Adobe PDF(1024Kb)  |  收藏  |  浏览/下载：388/99  |  提交时间：2020/03/30
Visualization  Image representation  Optimization  Buildings  Indexing  Image retrieval  multi-index fusion  tensor multi-rank  person re-identification  
Pseudo low rank video representation 期刊论文
PATTERN RECOGNITION, 2019, 卷号: 85, 期号: 1, 页码: 50-59
作者:  Yu, Tingzhao;  Wang, Lingfeng;  Guo, Chaoxu;  Gu, Huxiang;  Xiang, Shiming;  Pan, Chunhong
浏览  |  Adobe PDF(1456Kb)  |  收藏  |  浏览/下载：566/173  |  提交时间：2019/01/08
Pseudo low rank  Data driven  Low resolution  Action recognition  
Dictionary-based fiber orientation estimation with improved spatial consistency 期刊论文
MEDICAL IMAGE ANALYSIS, 2018, 卷号: 44, 期号: 44, 页码: 41-53
作者:  Ye, Chuyang;  Prince, Jerry L.
浏览  |  Adobe PDF(4635Kb)  |  收藏  |  浏览/下载：277/72  |  提交时间：2018/01/12
Diffusion Mri  Dictionary-based Fo Estimation  Spatial Consistency  Pairwise Fo Dissimilarity  
Tissue microstructure estimation using a deep network inspired by a dictionary-based framework 期刊论文
MEDICAL IMAGE ANALYSIS, 2017, 卷号: 42, 期号: 42, 页码: 288-299
作者:  Ye, Chuyang
浏览  |  Adobe PDF(3514Kb)  |  收藏  |  浏览/下载：318/107  |  提交时间：2018/01/12
Diffusion Mri  Tissue Microstructure  Noddi  Sparse Reconstruction  Deep Network  
A deep learning model integrating FCNNs and CRFs for brain tumor segmentation 期刊论文
MEDICAL IMAGE ANALYSIS, 2018, 卷号: 43, 期号: -, 页码: 98-111
作者:  Zhao, Xiaomei;  Wu, Yihong;  Song, Guidong;  Li, Zhenye;  Zhang, Yazhuo;  Fan, Yong
浏览  |  Adobe PDF(1963Kb)  |  收藏  |  浏览/下载：414/121  |  提交时间：2018/01/04
Brain Tumor Segmentation  Fully Convolutional Neural Networks  Conditional Random Fields  Deep Learning  
Moving Object Detection Using Tensor-Based Low-Rank and Saliently Fused-Sparse Decomposition 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2017, 卷号: 26, 期号: 2, 页码: 724-737
作者:  Hu, Wenrui;  Yang, Yehui;  Zhang, Wensheng;  Xie, Yuan
浏览  |  Adobe PDF(13016Kb)  |  收藏  |  浏览/下载：503/196  |  提交时间：2017/09/12
Moving Object Detection  Tensor Nuclear Norm  Tensor Total Variation  Space-time Visual Saliency