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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：274/4  |  提交时间：2019/10/18
Efficient unsupervised feature selection  Bipartite graph  Discrete indicator matrix  Uncorrelated regression model  
Does being multi-headed make you better at solving problems? A survey of Physarum-based models and computations 期刊论文
PHYSICS OF LIFE REVIEWS, 2019, 卷号: 29, 页码: 1-26
作者:  Gao, Chao;  Liu, Chen;  Schenz, Daniel;  Li, Xuelong;  Zhang, Zili;  Jusup, Marko;  Wang, Zhen;  Beekman, Madeleine;  Nakagaki, Toshiyuki
Adobe PDF(4064Kb)  |  收藏  |  浏览/下载：182/0  |  提交时间：2019/09/24
Modelling and computation  Bio-inspired computing  Physarum polycephalum  Intelligent behaviour  Complex problem solving  
Joint Learning of Fuzzy k-Means and Nonnegative Spectral Clustering With Side Information 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2019, 卷号: 28, 期号: 5, 页码: 2152–2162
作者:  Zhang, Rui;  Nie, Feiping;  Guo, Muhan;  Wei, Xian;  Li, Xuelong
Adobe PDF(2331Kb)  |  收藏  |  浏览/下载：306/1  |  提交时间：2019/03/20
Fuzzy K-means  spectral clustering  adaptive loss function  
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：267/0  |  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：227/1  |  提交时间：2019/03/20
Graph-based semisupervised learning (GSL)  quadratic trace ratio (QTR) problem  side information  soft label  
GETNET: A General End-to-End 2-D CNN Framework for Hyperspectral Image Change Detection 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2019, 卷号: 57, 期号: 1, 页码: 3-13
作者:  Wang, Qi;  Yuan, Zhenghang;  Du, Qian;  Li, Xuelong
Adobe PDF(3597Kb)  |  收藏  |  浏览/下载：428/0  |  提交时间：2019/03/14
2-D convolutional neural network (CNN)  change detection (CD)  deep learning  hyperspectral image (HSI)  mixed-affinity matrix  spectral unmixing