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Multimodal Spatiotemporal Representation for Automatic Depression Level Detection 期刊论文
IEEE Transactions on Affective Computing, 2020, 期号: 0, 页码: 0
作者:  Mingyue Niu;  Jianhua Tao;  Bin Liu;  Jian Huang;  Zheng Lian
Adobe PDF(2831Kb)  |  收藏  |  浏览/下载：198/51  |  提交时间：2021/06/01
Multimodal depression detection  Spatio-Temporal Attention  Audio/Video Segment-Level Feature  Eigen Evolution Pooling  Audio/Video Level Feature  Multimodal Attention Feature Fusion  
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：288/40  |  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：299/66  |  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)  
3D PostureNet: A unified framework for skeleton-based posture recognition 期刊论文
PATTERN RECOGNITION LETTERS, 2020, 卷号: 140, 期号: 140, 页码: 143-149
作者:  Liu, Jianbo;  Wang, Ying;  Liu, Yongcheng;  Xiang, Shiming;  Pan, Chunhong
Adobe PDF(1997Kb)  |  收藏  |  浏览/下载：259/34  |  提交时间：2021/03/02
Human posture recognition  Static hand gesture recognition  Skeleton-based  3D convolutional neural network  
Sentiment analysis via dually-born-again network and sample selection 期刊论文
INTELLIGENT DATA ANALYSIS, 2020, 卷号: 24, 期号: 6, 页码: 1257-1271
作者:  Zhao, Pinlong;  Han, Zefeng;  Yin, Qing;  Li, Shuxiao;  Wu, Ou
收藏  |  浏览/下载：151/0  |  提交时间：2021/03/01
Classification  deep neural network  knowledge distillation  sample selection  
A multi-view attention-based deep learning system for online deviant content detection 期刊论文
WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS, 2020, 页码: 24
作者:  Liang, Yunji;  Guo, Bin;  Yu, Zhiwen;  Zheng, Xiaolong;  Wang, Zhu;  Tang, Lei
收藏  |  浏览/下载：142/0  |  提交时间：2021/01/07
Deviant content  Deep learning  Ensemble learning  View attention  Social media  
Conducting Natural Language Inference with Word-Pair-Dependency and Local Context 期刊论文
ACM TRANSACTIONS ON ASIAN AND LOW-RESOURCE LANGUAGE INFORMATION PROCESSING, 2020, 卷号: 19, 期号: 3, 页码: 23
作者:  Du, Qianlong;  Zong, Chengqing;  Su, Keh-Yih
浏览  |  Adobe PDF(1838Kb)  |  收藏  |  浏览/下载：217/61  |  提交时间：2021/01/06
Natural language inference  textual entailment  syntactic relation  local context  relation triplet  word-pair dependency  
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
浏览  |  Adobe PDF(5411Kb)  |  收藏  |  浏览/下载：297/68  |  提交时间：2020/12/21
object detection  large image  self-supervise  feature augmentation  
Handwritten Mathematical Expression Recognition via Paired Adversarial Learning 期刊论文
International Journal of Computer Vision, 2020, 卷号: 128, 期号: 128, 页码: 2386-2401
作者:  Jin-Wen Wu;  Fei Yin;  Yan-Ming Zhang;  Xu-Yao Zhang;  Cheng-Lin Liu
浏览  |  Adobe PDF(1941Kb)  |  收藏  |  浏览/下载：356/89  |  提交时间：2020/10/20
Handwritten ME recognition  Paired adversarial learning  Semantic-invariant features  Convolutional decoder  Coverage of decoding  
Acting As A Decision Maker: Traffic-Condition-Aware Ensemble Learning for Traffic Flow Prediction 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2020, 期号: Accepted, 页码: Accepted
作者:  Yuanyuan Chen;  Hongyu Chen;  Peijun Ye;  Yisheng Lv;  Fei-Yue Wang
浏览  |  Adobe PDF(2382Kb)  |  收藏  |  浏览/下载：278/57  |  提交时间：2020/10/16
Traffic Flow Prediction  Ensemble Learning  Deep Learning