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Joint Sparse Locality-Aware Regression for Robust Discriminative Learning 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2021, 页码: 14
作者:  Hu, Liangchen;  Zhang, Wensheng;  Dai, Zhenlei
收藏  |  浏览/下载：191/0  |  提交时间：2022/02/16
Feature selection and extraction  joint L-2,L-1-norms sparsity  locality-aware graph learning  marginal representation learning  
Multimodal Disentangled Domain Adaption for Social Media Event Rumor Detection 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2021, 卷号: 23, 页码: 4441-4454
作者:  Zhang, Huaiwen;  Qian, Shengsheng;  Fang, Quan;  Xu, Changsheng
收藏  |  浏览/下载：241/0  |  提交时间：2022/01/27
Social networking (online)  Feature extraction  Task analysis  Adaptation models  Writing  Visualization  Training  Disentanglement representation learning  domain adaptation  event rumor detection  social media  
SAPS: Self-Attentive Pathway Search for weakly-supervised action localization with-action 期刊论文
COMPUTER VISION AND IMAGE UNDERSTANDING, 2021, 卷号: 210, 页码: 9
作者:  Zhang, Xiao-Yu;  Zhang, Yaru;  Shi, Haichao;  Dong, Jing
收藏  |  浏览/下载：178/0  |  提交时间：2021/11/03
Video understanding  Action localization  Representation learning  Neural architecture search  Background modeling  
Self-supervised graph representation learning via bootstrapping 期刊论文
NEUROCOMPUTING, 2021, 卷号: 456, 页码: 88-96
作者:  Che, Feihu;  Yang, Guohua;  Zhang, Dawei;  Tao, Jianhua;  Liu, Tong
Adobe PDF(1379Kb)  |  收藏  |  浏览/下载：387/66  |  提交时间：2021/11/03
Graph representation learning  Self-supervised  Bootstrapping  Graph neural network  
Pay attention to doctor & ndash;patient dialogues: Multi-modal knowledge graph attention image-text embedding for COVID-19 diagnosis 期刊论文
INFORMATION FUSION, 2021, 卷号: 75, 页码: 168-185
作者:  Zheng, Wenbo;  Yan, Lan;  Gou, Chao;  Zhang, Zhi-Cheng;  Zhang, Jun Jason;  Hu, Ming;  Wang, Fei-Yue
收藏  |  浏览/下载：276/0  |  提交时间：2021/11/02
COVID-19 diagnose  Knowledge attention mechanism  Knowledge-based representation learning  Knowledge embedding  
Intra-domain Consistency Enhancement for Unsupervised Person Re-identification 期刊论文
IEEE Transactions on Multimedia, 2021, 卷号: 0, 期号: 0, 页码: 0-0
作者:  Li, Yaoyu;  Yao, Hantao;  Xu, Changsheng
Adobe PDF(2167Kb)  |  收藏  |  浏览/下载：214/60  |  提交时间：2021/06/22
Person Re-identification  unsupervised domain adaptation  representation learning  
Disentangled Item Representation for Recommender Systems 期刊论文
Transactions on Intelligent Systems and Technology (TIST), 2021, 卷号: 0, 期号: 0, 页码: 0
作者:  Cui Zeyu;  Yu Feng;  Wu Shu;  Liu Qiang;  Wang Liang
Adobe PDF(4552Kb)  |  收藏  |  浏览/下载：219/61  |  提交时间：2021/06/17
Representation learning  Recommender systems  Attribute disentangling  
Dynamic Graph Learning Convolutional Networks for Semi-supervised Classification 期刊论文
ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2021, 卷号: 17, 期号: 1, 页码: 13
作者:  Fu, Sichao;  Liu, Weifeng;  Guan, Weili;  Zhou, Yicong;  Tao, Dapeng;  Xu, Changsheng
收藏  |  浏览/下载：194/0  |  提交时间：2021/06/15
Graph representation learning  graph convolutional networks  semisupervised classification  
Deep Self-Supervised Representation Learning for Free-Hand Sketch 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2021, 卷号: 31, 期号: 4, 页码: 1503-1513
作者:  Xu, Peng;  Song, Zeyu;  Yin, Qiyue;  Song, Yi-Zhe;  Wang, Liang
收藏  |  浏览/下载：268/0  |  提交时间：2021/05/17
Feature extraction  Task analysis  Strain  Computer architecture  Deep learning  Deformable models  Convolution  Self-supervised  representation learning  deep learning  sketch  pretext task  textual convolution network  convolutional neural network  
Modal-Regression-Based Structured Low-Rank Matrix Recovery for Multiview Learning 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 3, 页码: 1204-1216
作者:  Xu, Jiamiao;  Wang, Fangzhao;  Peng, Qinmu;  You, Xinge;  Wang, Shuo;  Jing, Xiao-Yuan;  Chen, C. L. Philip
收藏  |  浏览/下载：302/0  |  提交时间：2021/04/27
Robustness  Laplace equations  Technological innovation  Learning systems  Data models  Gaussian noise  Convex functions  Block-diagonal representation learning  cross-view classification  low-rank representation  multiview learning