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Unsupervised Graph Representation Learning with Cluster-aware Self-training and Refining 期刊论文
ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY, 2023, 卷号: 14, 期号: 5, 页码: 21
作者:  Zhu, Yanqiao;  Xu, Yichen;  Yu, Feng;  Liu, Qiang;  Wu, Shu
收藏  |  浏览/下载：79/0  |  提交时间：2023/12/21
Cluster-aware self-training and refining  unsupervised learning  graph representation learning  
Joint Token and Feature Alignment Framework for Text-Based Person Search 期刊论文
IEEE SIGNAL PROCESSING LETTERS, 2022, 卷号: 29, 页码: 2238-2242
作者:  Li, Shangze;  Lu, Andong;  Huang, Yan;  Li, Chenglong;  Wang, Liang
收藏  |  浏览/下载：212/0  |  提交时间：2022/12/27
Feature extraction  Visualization  Representation learning  Logic gates  Image reconstruction  Transformers  Training  Cross-modal generation  feature alignment  text-based person search  token alignment  transformer  
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：210/58  |  提交时间：2021/06/17
Representation learning  Recommender systems  Attribute disentangling  
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：258/0  |  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  
GraphAIR: Graph representation learning with neighborhood aggregation and interaction 期刊论文
PATTERN RECOGNITION, 2021, 卷号: 112, 页码: 11
作者:  Hu, Fenyu;  Zhu, Yanqiao;  Wu, Shu;  Huang, Weiran;  Wang, Liang;  Tan, Tieniu
Adobe PDF(839Kb)  |  收藏  |  浏览/下载：502/216  |  提交时间：2021/03/29
Graph representation learning  Neighborhood aggregation  Graph neural networks  Neighborhood interaction  Node classification  Link prediction  
Adversarial Learning Semantic Volume for 2D/3D Face Shape Regression in the Wild 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2019, 卷号: 28, 期号: 9, 页码: 4526-4540
作者:  Zhang, Hongwen;  Li, Qi;  Sun, Zhenan
Adobe PDF(4865Kb)  |  收藏  |  浏览/下载：326/49  |  提交时间：2019/10/08
2D/3D facial landmark localization  semantic volumetric representation  joint voxel and coordinate regression  auxiliary regression adversarial learning  
Nonnegative Sparse Representation for Label Propagation Algorithm 期刊论文
Chinese Journal of Dalian University of Technology, 2011, 卷号: 52, 期号: 2, 页码: 264-271
作者:  Nanhai Yang;  Yuanyuan Sang;  Ran He(赫然);  Xiukun Wang
收藏  |  浏览/下载：79/0  |  提交时间：2018/06/07
Biometrics  Nonnegative Sparse Representation  Semi-supervised Learning  Sparse Probability Graph  Label Propagation  
Learning visual categories through a sparse representation classifier based cross-category knowledge transfer 会议论文
ICIP 2014, Paris, France, 27-30 October 2014
作者:  Ying Lu;  Liming Chen;  Alexandre Saidi;  Zhaoxiang Zhang;  Yunhong Wang
收藏  |  浏览/下载：188/0  |  提交时间：2017/02/09
Visual Concept Recognition  Transfer Learning  Sparse Representation  Computer Vision  
Learning Relevance Restricted Boltzmann Machine for Unstructured Group Activity and Event Understanding 期刊论文
INTERNATIONAL JOURNAL OF COMPUTER VISION, 2016, 卷号: 119, 期号: 3, 页码: 329-345
作者:  Zhao, Fang;  Huang, Yongzhen;  Wang, Liang;  Xiang, Tao;  Tan, Tieniu
浏览  |  Adobe PDF(6286Kb)  |  收藏  |  浏览/下载：424/131  |  提交时间：2016/10/20
Representation Learning  Video Analysis  Restricted Boltzmann Machine  Sparse Bayesian Learning  
Semi-supervised learning and feature evaluation for RGB-D object recognition 期刊论文
COMPUTER VISION AND IMAGE UNDERSTANDING, 2015, 卷号: 139, 期号: 5, 页码: 149-160
作者:  Cheng, Yanhua;  Zhao, Xin;  Huang, Kaiqi;  Tan, Tieniu
浏览  |  Adobe PDF(3157Kb)  |  收藏  |  浏览/下载：431/130  |  提交时间：2015/10/26
Rgb-d  Object Recognition  Feature Representation  Feature Evaluation  Semi-supervised Learning