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Supervised Dimensionality Reduction Methods via Recursive Regression 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 9, 页码: 3269-3279
作者:  Liu, Yun;  Zhang, Rui;  Nie, Feiping;  Li, Xuelong;  Ding, Chris
Adobe PDF(1723Kb)  |  收藏  |  浏览/下载：185/1  |  提交时间：2020/10/23
Dimensionality reduction  Linear discriminant analysis  Eigenvalues and eigenfunctions  Learning systems  Computer science  Optical imaging  Optics  Optimal scaling (OS)  orthogonal least squares regression (OLSR)  orthogonal linear discriminant analysis (OLDA)  recursive regression  supervised dimensionality reduction  
Flexible Affinity Matrix Learning for Unsupervised and Semisupervised Classification 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 4, 页码: 1133-1149
作者:  Fang, Xiaozhao;  Han, Na;  Wong, Wai Keung;  Teng, Shaohua;  Wu, Jigang;  Xie, Shengli;  Li, Xuelong
Adobe PDF(4698Kb)  |  收藏  |  浏览/下载：257/0  |  提交时间：2019/04/17
Affinity matrix  clustering  low-rank representation (LRR)  sparse representation  
Semisupervised Learning With Parameter-Free Similarity of Label and Side Information 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 2, 页码: 405–414
作者:  Zhang, Rui;  Nie, Feiping;  Li, Xuelong
Adobe PDF(1215Kb)  |  收藏  |  浏览/下载：216/1  |  提交时间：2019/03/20
Graph-based semisupervised learning (GSL)  quadratic trace ratio (QTR) problem  side information  soft label  
Local Regression and Global Information-Embedded Dimension Reduction 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 10, 页码: 4882-4893
作者:  Yao, Chao;  Han, Junwei;  Nie, Feiping;  Xiao, Fu;  Li, Xuelong
Adobe PDF(1855Kb)  |  收藏  |  浏览/下载：206/1  |  提交时间：2018/10/23
Dimension Reduction  Feature Extraction  Manifold Learning  Unsupervised Learning  
SCE: A Manifold Regularized Set-Covering Method for Data Partitioning 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 5, 页码: 1760-1773
作者:  Li, Xuelong;  Lu, Quanmao;  Dong, Yongsheng;  Tao, Dacheng;  Dong, YS (reprint author), Chinese Acad Sci, Xian Inst Opt & Precis Mech, OPT IMagery Anal & Learning OPTIMAL, State Key Lab Transient Opt & Photon, Xian 710119, Shaanxi, Peoples R China.
Adobe PDF(3328Kb)  |  收藏  |  浏览/下载：240/1  |  提交时间：2018/05/14
Cluster Ensemble  Discriminative Constraint  Manifold Structure  Set Covering  
Regularized Label Relaxation Linear Regression 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 4, 页码: 1006-1018
作者:  Fang, Xiaozhao;  Xu, Yong;  Li, Xuelong;  Lai, Zhihui;  Wong, Wai Keung;  Fang, Bingwu;  Xu, Y (reprint author), Harbin Inst Technol, Shenzhen Grad Sch, Biocomp Res Ctr, Shenzhen 518055, Peoples R China.
Adobe PDF(3718Kb)  |  收藏  |  浏览/下载：205/1  |  提交时间：2018/04/11
Class Compactness Graph  Computer Vision  Label Relaxation  Linear Regression (Lr)  Manifold Learning  
Feature Combination via Clustering 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 4, 页码: 896-907
作者:  Hou, Jian;  Gao, Huijun;  Li, Xuelong;  Hou, J (reprint author), Bohai Univ, Coll Engn, Jinzhou 121013, Peoples R China.;  Hou, J (reprint author), Univ Ca Foscari Venezia, European Ctr Living Technol, I-30123 Venice, Italy.
Adobe PDF(1581Kb)  |  收藏  |  浏览/下载：233/1  |  提交时间：2018/04/11
Feature Combination  Image Classification  Clustering  Dominant Set  
Person Re-identification by Multi-hypergraph Fusion 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2017, 卷号: 28, 期号: 11, 页码: 2763-2774
作者:  An, Le;  Chen, Xiaojing;  Yang, Songfan;  Li, Xuelong;  Chen, Xiaojing (xchen010@ucr.edu)
Adobe PDF(3831Kb)  |  收藏  |  浏览/下载：296/2  |  提交时间：2016/10/10
Feature Fusion  Graph Learning  Hypergraph  Person Re-identification  Surveillance  
Special Section on Learning in Non-(geo) metric Spaces 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2016, 卷号: 27, 期号: 6, 页码: 1290-1293
作者:  Pelillo, Marcello;  Hancock, Edwin R.;  Li, Xuelong;  Murino, Vittorio
Adobe PDF(1871Kb)  |  收藏  |  浏览/下载：107/1  |  提交时间：2016/09/19
Blind Image Quality Assessment via Deep Learning 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2015, 卷号: 26, 期号: 6, 页码: 1275-1286
作者:  Hou, Weilong;  Gao, Xinbo;  Tao, Dacheng;  Li, Xuelong
Adobe PDF(5671Kb)  |  收藏  |  浏览/下载：361/3  |  提交时间：2015/07/22
Deep Learning  Image Quality Assessment (Iqa)  Natural Scene Statistics (Nss)  No Reference