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Unsupervised learning of human action categories in still images with deep representations 期刊论文
ACM Transactions on Multimedia Computing, Communications and Applications, 2019, 卷号: 15, 期号: 4
作者:  Zheng, Yunpeng;  Li, Xuelong;  Lu, Xiaoqiang
Adobe PDF(23484Kb)  |  收藏  |  浏览/下载：213/2  |  提交时间：2020/01/17
Action categorization  unsupervised learning  deep representations  
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  
Robust Subspace Clustering by Cauchy Loss Function 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 7, 页码: 2067-2078
作者:  Li, Xuelong;  Lu, Quanmao;  Dong, Yongsheng;  Tao, Dacheng
Adobe PDF(3374Kb)  |  收藏  |  浏览/下载：270/0  |  提交时间：2019/07/17
Cauchy loss function (CLF)  grouping effect  noise suppression  similarity matrix  subspace clustering  
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  
Long-Short-Term Features for Dynamic Scene Classification 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2019, 卷号: 29, 期号: 4, 页码: 1038-1047
作者:  Huang, Yuanjun;  Cao, Xianbin;  Wang, Qi;  Zhang, Baochang;  Zhen, Xiantong;  Li, Xuelong
Adobe PDF(2016Kb)  |  收藏  |  浏览/下载：275/0  |  提交时间：2019/04/30
Dynamic scene classification  long-short term feature  long term frequency feature  
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