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An efficient framework for unsupervised feature selection 期刊论文
NEUROCOMPUTING, 2019, 卷号: 366, 页码: 194-207
作者:  Zhang, Han;  Zhang, Rui;  Nie, Feiping;  Li, Xuelong
Adobe PDF(2196Kb)  |  收藏  |  浏览/下载：269/4  |  提交时间：2019/10/18
Efficient unsupervised feature selection  Bipartite graph  Discrete indicator matrix  Uncorrelated regression model  
Locality and Structure Regularized Low Rank Representation for Hyperspectral Image Classification 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2019, 卷号: 57, 期号: 2, 页码: 911-923
作者:  Wang, Qi;  He, Xiang;  Li, Xuelong
Adobe PDF(2021Kb)  |  收藏  |  浏览/下载：221/0  |  提交时间：2019/03/14
Block-diagonal structure  hyperspectral image (HSI) classification  low-rank representation (LRR)  
Discriminative and orthogonal subspace constraints-based nonnegative matrix factorization 期刊论文
ACM Transactions on Intelligent Systems and Technology, 2018, 卷号: 9, 期号: 6
作者:  Li, Xuelong;  Cui, Guosheng;  Dong, Yongsheng
Adobe PDF(2717Kb)  |  收藏  |  浏览/下载：171/0  |  提交时间：2019/03/04
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：209/1  |  提交时间：2018/04/11
Class Compactness Graph  Computer Vision  Label Relaxation  Linear Regression (Lr)  Manifold Learning  
Detection of Co-salient Objects by Looking Deep and Wide 期刊论文
INTERNATIONAL JOURNAL OF COMPUTER VISION, 2016, 卷号: 120, 期号: 2, 页码: 215-232
作者:  Zhang, Dingwen;  Han, Junwei;  Li, Chao;  Wang, Jingdong;  Li, Xuelong;  Han, JW
Adobe PDF(7504Kb)  |  收藏  |  浏览/下载：414/1  |  提交时间：2016/11/14
Co-saliency Detection  Domain Adaptive Convolutional Neural Network  Bayesian Framework  
A maximum entropy feature descriptor for age invariant face recognition 会议论文
IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2015, Boston, MA, United states, 2015-06
作者:  Gong, Dihong;  Li, Zhifeng;  Tao, Dacheng;  Liu, Jianzhuang;  Li, Xuelong
Adobe PDF(326Kb)  |  收藏  |  浏览/下载：298/0  |  提交时间：2016/03/15
Joint Embedding Learning and Sparse Regression: A Framework for Unsupervised Feature Selection 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2014, 卷号: 44, 期号: 6, 页码: 793-804
作者:  Hou, Chenping;  Nie, Feiping;  Li, Xuelong;  Yi, Dongyun;  Wu, Yi
Adobe PDF(11197Kb)  |  收藏  |  浏览/下载：736/1  |  提交时间：2015/03/18
Embedding Learning  Feature Selection  Pattern Recognition  Sparse Regression