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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：344/76  |  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)  
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：384/83  |  提交时间：2021/01/06
Domain adaptation  class centroid matching  local manifold self-learning  
Improve Person Re-Identification With Part Awareness Learning 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 卷号: 29, 页码: 7468-7481
作者:  Huang, Houjing;  Yang, Wenjie;  Lin, Jinbin;  Huang, Guan;  Xu, Jiamiao;  Wang, Guoli;  Chen, Xiaotang;  Huang, Kaiqi
Adobe PDF(3927Kb)  |  收藏  |  浏览/下载：351/67  |  提交时间：2020/08/31
Person re-identification  part awareness  part segmentation  multi-task learning  
Radiomics in liver diseases: Current progress and future opportunities 期刊论文
LIVER INTERNATIONAL, 2020, 卷号: 40, 期号: 9, 页码: 2050-2063
作者:  Wei, Jingwei;  Jiang, Hanyu;  Gu, Dongsheng;  Niu, Meng;  Fu, Fangfang;  Han, Yuqi;  Song, Bin;  Tian, Jie
Adobe PDF(872Kb)  |  收藏  |  浏览/下载：512/140  |  提交时间：2020/08/03
data science  liver diseases  machine learning  precision medicine  radiologic technology  
Multisource Transfer Learning for Cross-Subject EEG Emotion Recognition 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2020, 卷号: 50, 期号: 7, 页码: 3281-3293
作者:  Li, Jinpeng;  Qiu, Shuang;  Shen, Yuan-Yuan;  Liu, Cheng-Lin;  He, Huiguang
Adobe PDF(2274Kb)  |  收藏  |  浏览/下载：328/7  |  提交时间：2020/08/03
Brain modeling  Electroencephalography  Emotion recognition  Data models  Training  Calibration  Training data  Brain-computer interface  emotion recognition  transfer learning (TL)  
Visual Defect Inspection for Deep-Aperture Components With Coarse-to-Fine Contour Extraction 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2020, 卷号: 69, 期号: 6, 页码: 3262-3274
作者:  Gong, Xinyi;  Su, Hu;  Xu, De;  Zhang, Jiabin;  Zhang, Lei;  Zhang, Zhengtao
浏览  |  Adobe PDF(1324Kb)  |  收藏  |  浏览/下载：379/82  |  提交时间：2020/08/03
Coarse-fine positioning  deep-hole component  defect inspection  edge grouping  image processing  
Domain Adaptation for EEG Emotion Recognition Based on Latent Representation Similarity 期刊论文
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2020, 卷号: 12, 期号: 2, 页码: 344-353
作者:  Li, Jinpeng;  Qiu, Shuang;  Du, Changde;  Wang, Yixin;  He, Huiguang
Adobe PDF(2274Kb)  |  收藏  |  浏览/下载：240/9  |  提交时间：2020/08/03
Electroencephalography  Brain modeling  Emotion recognition  Adaptation models  Training  Feature extraction  Neural networks  Domain adaptation  electroencephalogram (EEG)  emotion recognition  neural network  transfer learning  
Re-ranking Image-text Matching by Adaptive Metric Fusion 期刊论文
PATTERN RECOGNITION, 2020, 卷号: 104, 期号: 1, 页码: 13
作者:  Niu, Kai;  Huang, Yan;  Wang, Liang
浏览  |  Adobe PDF(2236Kb)  |  收藏  |  浏览/下载：505/117  |  提交时间：2020/06/22
Image-text matching  Re-ranking method  Adaptive metric fusion  
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：445/97  |  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