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A sparse dictionary learning method for hyperspectral anomaly detection with capped norm 会议论文
2017 IEEE International Geoscience and Remote Sensing Symposium: International Cooperation for Global Awareness, IGARSS 2017 - Proceedings, Fort Worth, TX, United states, 2017-07-23
作者:  Ma, Dandan;  Yuan, Yuan;  Wang, Qi;  Wang, Qi (author:crabwq@nwpu.edu.cn)
Adobe PDF(340Kb)  |  收藏  |  浏览/下载：254/0  |  提交时间：2018/03/21
A Biologically Inspired Appearance Model for Robust Visual Tracking 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2017, 卷号: 28, 期号: 10, 页码: 2357-2370
作者:  Zhang, Shengping;  Lan, Xiangyuan;  Yao, Hongxun;  Zhou, Huiyu;  Tao, Dacheng;  Li, Xuelong
Adobe PDF(2113Kb)  |  收藏  |  浏览/下载：202/0  |  提交时间：2017/12/25
Appearance Modeling  Biologically Inspiration  Sparse Coding  Visual Tracking  
Robust Web Image Annotation via Exploring Multi-Facet and Structural Knowledge 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2017, 卷号: 26, 期号: 10, 页码: 4871-4884
作者:  Hu, Mengqiu;  Yang, Yang;  Shen, Fumin;  Zhang, Luming;  Shen, Heng Tao;  Li, Xuelong;  Yang, Y
Adobe PDF(2049Kb)  |  收藏  |  浏览/下载：300/2  |  提交时间：2017/09/08
Image Annotation  Multi-view Learning  Semi-supervised Learning  l(2)  (p)-norm  
Latent semantic concept regularized model for blind image deconvolution 期刊论文
NEUROCOMPUTING, 2017, 卷号: 257, 页码: 206-213
作者:  Ye, Renzhen;  Li, Xuelong;  Ye, RZ (reprint author), Chinese Acad Sci, Xian Inst Opt & Precis Mech, State Key Lab Transient Opt & Photon, Ctr OPT IMagery Anal & Learning OPTIMAL, Xian 710119, Shaanxi, Peoples R China.
Adobe PDF(2791Kb)  |  收藏  |  浏览/下载：198/1  |  提交时间：2017/07/21
Machine Learning  Blind Deconvolution  Latent Semantic Learning  Matrix Factorization  Manifold Regularized  
An improved non-uniformity correction algorithm and its hardware implementation on FPGA 期刊论文
INFRARED PHYSICS & TECHNOLOGY, 2017, 卷号: 85, 页码: 410-420
作者:  Rong Shenghui;  Zhou Huixin;  Wen Zhigang;  Qin Hanlin;  Qian Kun;  Cheng Kuanhong;  Zhou, Huixin (hxzhou@mail.xidian.edu.cn)
Adobe PDF(1817Kb)  |  收藏  |  浏览/下载：181/0  |  提交时间：2017/09/15
Infrared Focal Plane Array  Non-uniformity Correction  Neural Network  Guided Filter  Motion Detection  Fpga  
Re-Weighted Discriminatively Embedded K-Means for Multi-View Clustering 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2017, 卷号: 26, 期号: 6, 页码: 3016-3027
作者:  Xu, Jinglin;  Han, Junwei;  Nie, Feiping;  Li, Xuelong;  Xu, Jinglin (xujinglinlove@gmail.com)
Adobe PDF(3000Kb)  |  收藏  |  浏览/下载：305/0  |  提交时间：2017/05/31
Multi-view Clustering  Discriminatively Embedded K-means  Low-dimensional Subspace  Iterative Re-weighted Least Squares  
Collective Representation for Abnormal Event Detection 期刊论文
JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 2017, 卷号: 32, 期号: 3, 页码: 470-479
作者:  Ye, Renzhen;  Li, Xuelong;  Ye, Renzhen (yerenzhen@mail.hzau.edu.cn)
Adobe PDF(1873Kb)  |  收藏  |  浏览/下载：258/1  |  提交时间：2017/05/31
Abnormal Detection  Collective Representation  Dictionary Learning  
Non-negative infrared patch-image model: Robust target-background separation via partial sum minimization of singular values 期刊论文
Infrared Physics and Technology, 2017, 卷号: 81
作者:  Dai, Yimian;  Wu, Yiquan;  Song, Yu;  Guo, Jun
Adobe PDF(3242Kb)  |  收藏  |  浏览/下载：205/0  |  提交时间：2017/03/24
Learning Instance Correlation Functions for Multilabel Classification 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2017, 卷号: 47, 期号: 2, 页码: 499-510
作者:  Liu, Huawen;  Li, Xuelong;  Zhang, Shichao
Adobe PDF(993Kb)  |  收藏  |  浏览/下载：188/1  |  提交时间：2017/04/06
l(1)-norm  Instance-based Learning  K-nearest Neighbors (Knns)  Multilabel Classification  Partial Least Square (Pls) Regression  
Short-term prediction of UT1-UTC by combination of the grey model and neural networks 期刊论文
ADVANCES IN SPACE RESEARCH, 2017, 卷号: 59, 期号: 2, 页码: 524-531
作者:  Lei, Yu;  Guo, Min(郭敏);  Hu, Dan-dan(胡丹丹);  Cai, Hong-bing;  Zhao, Dan-ning;  Hu, Zhao-peng;  Gao, Yu-ping;  Lei, Y (reprint author), Chinese Acad Sci, Natl Time Serv Ctr, Xian 710600, Shaanxi, Peoples R China.
Adobe PDF(453Kb)  |  收藏  |  浏览/下载：290/1  |  提交时间：2017/03/15
Ut1-utc  Prediction  Grey Model  Neural Networks (Nn)