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Biphasic Face Photo-Sketch Synthesis via Semantic-Driven Generative Adversarial Network With Graph Representation Learning 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 14
作者:  Qi, Xingqun;  Sun, Muyi;  Wang, Zijian;  Liu, Jiaming;  Li, Qi;  Zhao, Fang;  Zhang, Shanghang;  Shan, Caifeng
Adobe PDF(6718Kb)  |  收藏  |  浏览/下载：143/44  |  提交时间：2024/02/22
Face photo-sketch synthesis  generative adversarial network  graph representation learning  intraclass and interclass  iterative cycle training (ICT)  
Accurate Lung Nodule Segmentation With Detailed Representation Transfer and Soft Mask Supervision 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 13
作者:  Wang, Changwei;  Xu, Rongtao;  Xu, Shibiao;  Meng, Weiliang;  Xiao, Jun;  Zhang, Xiaopeng
Adobe PDF(4178Kb)  |  收藏  |  浏览/下载：159/13  |  提交时间：2023/12/21
Detailed representation transfer  lung nodules segmentation  medical images segmentation  soft mask  
Constrained Maximum Cross-Domain Likelihood for Domain Generalization 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 15
作者:  Lin, Jianxin;  Tang, Yongqiang;  Wang, Junping;  Zhang, Wensheng
Adobe PDF(2518Kb)  |  收藏  |  浏览/下载：160/4  |  提交时间：2023/11/17
Optimization  Feature extraction  Metalearning  Entropy  Training  Hospitals  Task analysis  Distribution shift  domain adaptation  domain generalization  domain-invariant representation  joint distribution alignment  
EDP: An Efficient Decomposition and Pruning Scheme for Convolutional Neural Network Compression 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 10, 页码: 4499-4513
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：349/47  |  提交时间：2021/06/17
Data-driven  low-rank decomposition  model compression and acceleration  structured pruning  
Multiview Clustering via Unified and View-Specific Embeddings Learning 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 11, 页码: 5541-5553
作者:  Yin, Qiyue;  Wu, Shu;  Wang, Liang
Adobe PDF(2148Kb)  |  收藏  |  浏览/下载：225/5  |  提交时间：2019/10/10
Incomplete multiview data  knowledge graph embedding  multiview learning  subspace learning  
Dynamic Collaborative Tracking 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 10, 页码: 3035-3046
作者:  Zhu, Guibo;  Zhang, Zhaoxiang;  Wang, Jinqiao;  Wu, Yi;  Lu, Hanqing
浏览  |  Adobe PDF(2492Kb)  |  收藏  |  浏览/下载：529/159  |  提交时间：2018/10/11
Correlation filter (CF)  distracter suppression  online learning  visual tracking  
Robust C-Loss Kernel Classifiers 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 3, 页码: 510-522
作者:  Xu, Guibiao;  Hu, Bao-Gang;  Principe, Jose C.
浏览  |  Adobe PDF(3169Kb)  |  收藏  |  浏览/下载：414/161  |  提交时间：2018/01/05
Correntropy  Half-quadratic (Hq) Optimization  Kernel Classifier  Loss Function  
Groupwise Retargeted Least-Squares Regression 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 4, 页码: 1352-1358
作者:  Wang, Lingfeng;  Pan, Chunhong
浏览  |  Adobe PDF(618Kb)  |  收藏  |  浏览/下载：377/130  |  提交时间：2018/01/04
Groupwise  Least-squares Regression (Lsr)  Multicategory Classification  Retargeted Least-squares Regression (Relsr)  
A Fast Algorithm of Convex Hull Vertices Selection for Online Classification 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 4, 页码: 792-806
作者:  Ding, Shuguang;  Nie, Xiangli;  Qiao, Hong;  Zhang, Bo
浏览  |  Adobe PDF(3029Kb)  |  收藏  |  浏览/下载：406/133  |  提交时间：2017/12/30
Convex Hull Decomposition  Kernel  Online Classification  Projection  
Object Categorization Using Class-Specific Representations 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 9, 页码: 4528-4534
作者:  Zhang, Chunjie;  Cheng, Jian;  Li, Liang;  Li, Changsheng;  Tian, Qi
浏览  |  Adobe PDF(1061Kb)  |  收藏  |  浏览/下载：7264/377  |  提交时间：2017/09/24
Class-specific Representation  Image Classification  Object Categorization  Visual Representation