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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：181/0  |  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：223/0  |  提交时间：2019/07/17
Convex nonnegative matrix factorization (CNMF)  hyperspectral anomaly detection  hyperspectral imagery  similarity constrained  
A Hybrid Level Set With Semantic Shape Constraint for Object Segmentation 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2019, 卷号: 49, 期号: 5, 页码: 1558–1569
作者:  Wang, Bin;  Yuan, Xiuying;  Gao, Xinbo;  Li, Xuelong;  Tao, Dacheng
Adobe PDF(3013Kb)  |  收藏  |  浏览/下载：274/0  |  提交时间：2019/04/12
Active contour model (ACMs)  image segmentation  kernelization  level set method (LSM)  shape context  shape prior  topology-preserving  
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：226/0  |  提交时间：2019/03/14
Block-diagonal structure  hyperspectral image (HSI) classification  low-rank representation (LRR)  
Convolutional Edge Constraint-Based U-Net for Salient Object Detection 期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 48890-48900
作者:  Han, Le;  Li, Xuelong;  Dong, Yongsheng
Adobe PDF(19751Kb)  |  收藏  |  浏览/下载：186/1  |  提交时间：2019/06/27
Encoder-decoder architecture  image convolution  edge extraction  salient object detection  skip connection  U-Net  
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：426/0  |  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