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PolSAR Image Feature Extraction via Co-Regularized Graph Embedding 期刊论文
REMOTE SENSING, 2020, 卷号: 12, 期号: 11, 页码: 19
作者:  Huang, Xiayuan;  Nie, Xiangli;  Qiao, Hong
浏览  |  Adobe PDF(8269Kb)  |  收藏  |  浏览/下载：348/73  |  提交时间：2020/08/03
Wishart distance  Euclidean distance of polarimetric features  co-regularized graph embedding  dimensionality reduction  PolSAR image feature extraction  
A Deep Nonnegative Matrix Factorization Approach via Autoencoder for Nonlinear Fault Detection 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2020, 卷号: 16, 期号: 8, 页码: 5042-5052
作者:  Ren, Zelin;  Zhang, Wensheng;  Zhang, Zhizhong
Adobe PDF(2122Kb)  |  收藏  |  浏览/下载：349/54  |  提交时间：2020/07/06
data-driven fault detection  deep autoencoder  nonlinear industrial process  nonnegative matrix factorization (NMF)  
Local Discriminant Canonical Correlation Analysis for Supervised PolSAR Image Classification 期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2017, 卷号: 14, 期号: 11, 页码: 2102-2106
作者:  Huang, Xiayuan;  Zhang, Bo;  Qiao, Hong;  Nie, Xiangli
浏览  |  Adobe PDF(2283Kb)  |  收藏  |  浏览/下载：359/109  |  提交时间：2017/12/30
Canonical Correlation Analysis (Cca)  Dimensionality Reduction (Dr)  Local Discriminant Embedding (Lde)  Multiview Feature Extraction  Supervised Polarimetric Synthetic Aperture Radar (Polsar) Image Classification  
Building Energy Consumption Prediction: An Extreme Deep Learning Approach 期刊论文
ENERGIES, 2017, 卷号: 10, 期号: 10, 页码: 1-20
作者:  Li, Chengdong;  Ding, Zixiang;  Zhao, Dongbin;  Yi, Jianqiang;  Zhang, Guiqing
浏览  |  Adobe PDF(1918Kb)  |  收藏  |  浏览/下载：321/51  |  提交时间：2017/12/30
Building Energy Consumption  Deep Learning  Stacked Autoencoders  Extreme Learning Machine  
Development of a New Model for the Fixture Design and Clamping Optimization 会议论文
World Congress on Intelligent Control and Automation, 沈阳, 2014年6月27日-6月30日
作者:  E. H. Cao;  J.H. Su;  Z.Y Liu;  H. Qiao;  Su JH(苏建华)
Adobe PDF(617Kb)  |  收藏  |  浏览/下载：342/120  |  提交时间：2016/10/27
Fixture Design  
Robust Visual Tracking via Exclusive Context Modeling 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2016, 卷号: 46, 期号: 1, 页码: 51-63
作者:  Zhang, Tianzhu;  Ghanem, Bernard;  Liu, Si;  Xu, Changsheng;  Ahuja, Narendra
Adobe PDF(1451Kb)  |  收藏  |  浏览/下载：289/49  |  提交时间：2016/03/19
Contextual Information  Exclusive Sparse Learning  Particle Filter  Tracking  
Robust Hyperspectral Unmixing With Correntropy-Based Metric 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2015, 卷号: 24, 期号: 11, 页码: 4027-4040
作者:  Wang, Ying;  Pan, Chunhong;  Xiang, Shiming;  Zhu, Feiyun
Adobe PDF(4371Kb)  |  收藏  |  浏览/下载：400/78  |  提交时间：2015/09/23
Hyperspectral Unmixing  Linear Mixture Model  Non-negative Matrix Factorization  Robust Estimation  Correntropy Based Metric  
Structured Sparse Method for Hyperspectral Unmixing 期刊论文
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2014, 卷号: 88, 页码: 101-118
作者:  Zhu, Feiyun;  Wang, Ying;  Xiang, Shiming;  Fan, Bin;  Pan, Chunhong
Adobe PDF(10734Kb)  |  收藏  |  浏览/下载：362/72  |  提交时间：2015/08/12
Hyperspectral Unmixing (Hu)  Hyperspectral Image Analysis  Structured Sparse Nmf (ss-Nmf)  Mixed Pixel  Nonnegative Matrix Factorization (Nmf)  
Minimum-risk training for semi-Markov conditional random fields with application to handwritten Chinese/Japanese text recognition 期刊论文
PATTERN RECOGNITION, 2014, 卷号: 47, 期号: 5, 页码: 1904-1916
作者:  Zhou, Xiang-Dong;  Zhang, Yan-Ming;  Tian, Feng;  Wang, Hong-An;  Liu, Cheng-Lin
Adobe PDF(751Kb)  |  收藏  |  浏览/下载：298/79  |  提交时间：2015/08/12
Semi-markov Conditional Random Fields  Minimum-risk Training  Character String Recognition  
Geometry preserving multi-task metric learning 期刊论文
MACHINE LEARNING, 2013, 卷号: 92, 期号: 1, 页码: 133-175
作者:  Yang, Peipei;  Huang, Kaizhu;  Liu, Cheng-Lin
Adobe PDF(1626Kb)  |  收藏  |  浏览/下载：328/60  |  提交时间：2015/08/12
Multi-task Learning  Metric Learning  Geometry Preserving  Von Neumann Divergence  Bregman Matrix Divergence