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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：292/64  |  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)  
Fuzzy Multilayer Clustering and Fuzzy Label Regularization for Unsupervised Person Reidentification 期刊论文
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2020, 卷号: 28, 期号: 7, 页码: 1356-1368
作者:  Zhang, Zhong;  Huang, Meiyan;  Liu, Shuang;  Xiao, Baihua;  Durrani, Tariq S.
收藏  |  浏览/下载：183/0  |  提交时间：2020/08/03
Databases  Multilayer perceptrons  Nonhomogeneous media  Training  Feature extraction  Clustering algorithms  Cameras  Fuzzy multilayer clustering (FMC)  fuzzy label regularization (FLR)  unsupervised person reidentification  
A Recurrent Attention and Interaction Model for Pedestrian Trajectory Prediction 期刊论文
Journal of Automatica Sinica, 2020, 期号: *, 页码: *
作者:  Li Xuesong;  Liu Yating;  Wang Kunfeng;  Wang Fei-Yue
Adobe PDF(5533Kb)  |  收藏  |  浏览/下载：169/47  |  提交时间：2020/06/08
Trajectory prediction  recurrent attention and interaction model  Long Short-Term Memory  deep learning  
Research progress of parallel control and management 期刊论文
IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2020, 卷号: 7, 期号: 2, 页码: 355-367
作者:  Xiong, Gang;  Dong, Xisong;  Lu, Hao;  Shen, Dayong
Adobe PDF(12496Kb)  |  收藏  |  浏览/下载：293/52  |  提交时间：2020/06/02
ACP methodology  artificial systems  computational experiments  parallel control  parallel management  parallel systems  
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：411/90  |  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