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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：265/4  |  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：175/0  |  提交时间：2019/09/24
Modelling and computation  Bio-inspired computing  Physarum polycephalum  Intelligent behaviour  Complex problem solving  
Similarity Constrained Convex Nonnegative Matrix Factorization for Hyperspectral Anomaly Detection 期刊论文
IEEE Transactions on Geoscience and Remote Sensing, 2019, 卷号: 57, 期号: 7, 页码: 4810-4822
作者:  Zhang, Wuxia;  Lu, Xiaoqiang;  Li, Xuelong
Adobe PDF(2142Kb)  |  收藏  |  浏览/下载：213/0  |  提交时间：2019/07/17
Convex nonnegative matrix factorization (CNMF)  hyperspectral anomaly detection  hyperspectral imagery  similarity constrained  
Co-occurrence matching of local binary patterns for improving visual adaption and its application to smoke recognition 期刊论文
IET COMPUTER VISION, 2019, 卷号: 13, 期号: 2(SI), 页码: 178-187
作者:  Yuan, Feiniu;  Shi, Jinting;  Xia, Xue;  Huang, Qinghua;  Li, Xuelong
Adobe PDF(2509Kb)  |  收藏  |  浏览/下载：192/0  |  提交时间：2019/03/14
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：217/0  |  提交时间：2019/03/14
Block-diagonal structure  hyperspectral image (HSI) classification  low-rank representation (LRR)