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Approximate Low-Rank Projection Learning for Feature Extraction 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 11, 页码: 5228-5241
作者:  Fang, Xiaozhao;  Han, Na;  Wu, Jigang;  Xu, Yong;  Yang, Jian;  Wong, Wai Keung;  Li, Xuelong
Adobe PDF(2693Kb)  |  收藏  |  浏览/下载：225/0  |  提交时间：2018/11/21
Computer Vision  Feature Extraction  Low-rank Representation (Lrr)  Pattern Recognition  Ridge Regression  
Person Reidentification Based on Elastic Projections 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 4, 页码: 1314-1327
作者:  Li, Xuelong;  Liu, Lina;  Lu, Xiaoqiang;  Li, XL (reprint author), Chinese Acad Sci, Inst Opt & Precis Mech, Ctr OPTical IMagery Anal & Learning OPTIMAL, State Key Lab Transient Opt & Photon, Xian 710119, Shaanxi, Peoples R China.
Adobe PDF(2236Kb)  |  收藏  |  浏览/下载：259/2  |  提交时间：2018/04/11
Machine Learning  Person Reidentification  Representative And Discriminative  Video Surveillance  
Multiple Representations-Based Face Sketch-Photo Synthesis 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2016, 卷号: 27, 期号: 11, 页码: 2201-2215
作者:  Peng, Chunlei;  Gao, Xinbo;  Wang, Nannan;  Tao, Dacheng;  Li, Xuelong;  Li, Jie
Adobe PDF(4267Kb)  |  收藏  |  浏览/下载：208/1  |  提交时间：2017/01/03
Face Recognition  Face Sketch-photo Synthesis  Forensic Sketch  Multiple Representations  
Shape-Constrained Sparse and Low-Rank Decomposition for Auroral Substorm Detection 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2016, 卷号: 27, 期号: 1, 页码: 32-46
作者:  Yang, Xi;  Gao, Xinbo;  Tao, Dacheng;  Li, Xuelong;  Han, Bing;  Li, Jie;  Yang, X
Adobe PDF(5085Kb)  |  收藏  |  浏览/下载：440/2  |  提交时间：2016/01/22
Auroral Substorm Detection  Sequence Motion Analysis  Shape Constraint  Sparse And Low-rank  Decomposition (Sld)  
Learning a Probabilistic Topology Discovering Model for Scene Categorization 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2015, 卷号: 26, 期号: 8, 页码: 1622-1634
作者:  Zhang, Luming;  Ji, Rongrong;  Xia, Yingjie;  Zhang, Ying;  Li, Xuelong
Adobe PDF(4096Kb)  |  收藏  |  浏览/下载：210/1  |  提交时间：2015/09/09
Boosting  Discrimination  Learning  Probabilistic Model  Redundancy  Topology  
Transfer Learning for Visual Categorization: A Survey 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2015, 卷号: 26, 期号: 5, 页码: 1019-1034
作者:  Shao, Ling;  Zhu, Fan;  Li, Xuelong
Adobe PDF(3181Kb)  |  收藏  |  浏览/下载：675/0  |  提交时间：2015/07/20
Action Recognition  Image Classification  Machine Learning  Object Recognition  Survey  Transfer Learning  Visual Categorization  
Feature Learning for Image Classification via Multiobjective Genetic Programming 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2014, 卷号: 25, 期号: 7, 页码: 1359-1371
作者:  Shao, Ling;  Liu, Li;  Li, Xuelong
Adobe PDF(4134Kb)  |  收藏  |  浏览/下载：222/0  |  提交时间：2015/03/18
Feature Extraction  Genetic Programming (Gp)  Image Classification  Multiobjective Optimization  
A Unified Learning Framework for Single Image Super-Resolution 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2014, 卷号: 25, 期号: 4, 页码: 780-792
作者:  Yu, Jifei;  Gao, Xinbo;  Tao, Dacheng;  Li, Xuelong;  Zhang, Kaibing
Adobe PDF(3831Kb)  |  收藏  |  浏览/下载：280/1  |  提交时间：2015/03/18
Example Learning-based  Image Super-resolution (Sr)  Reconstruction-based  Self-similarity  
Single Image Super-Resolution With Multiscale Similarity Learning 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2013, 卷号: 24, 期号: 10, 页码: 1648-1659
作者:  Zhang, Kaibing;  Gao, Xinbo;  Tao, Dacheng;  Li, Xuelong
Adobe PDF(1949Kb)  |  收藏  |  浏览/下载：215/1  |  提交时间：2015/06/09
Image Super-resolution (Sr)  Multiscale Self-similarities  Neighbor Embedding (Ne)  Nonlocal Means (Nlm)  
Transductive Face Sketch-Photo Synthesis 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2013, 卷号: 24, 期号: 9, 页码: 1364-1376
作者:  Wang, Nannan;  Tao, Dacheng;  Gao, Xinbo;  Li, Xuelong;  Li, Jie
Adobe PDF(2307Kb)  |  收藏  |  浏览/下载：212/1  |  提交时间：2015/05/29
Probabilistic Graph Model  Quadratic Programming  Sketch-photo Synthesis  Transductive Learning