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CASIA OpenIR

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Accurate and robust registration of low overlapping point clouds 期刊论文
COMPUTERS & GRAPHICS-UK, 2024, 卷号: 118, 页码: 146-160
作者:  Yang, Jieyin;  Zhao, Mingyang;  Wu, Yingrui;  Jia, Xiaohong
收藏  |  浏览/下载：62/0  |  提交时间：2024/03/26
Point cloud registration  ICP  HMRF  Low overlapping  Outliers  
Set-Membership Filtering Subject to Impulsive Measurement Outliers: A Recursive Algorithm 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 2, 页码: 377-388
作者:  Lei Zou;  Zidong Wang;  Hang Geng;  Xiaohui Liu
Adobe PDF(1798Kb)  |  收藏  |  浏览/下载：183/43  |  提交时间：2021/04/09
Boundedness analysis  impulsive measurement outliers  parameter-dependent filter  set-membership filtering  time-varying systems  
Weighted Broad Learning System and Its Application in Nonlinear Industrial Process Modeling 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 8, 页码: 3017-3031
作者:  Chu, Fei;  Liang, Tao;  Chen, C. L. Philip;  Wang, Xuesong;  Ma, Xiaoping
收藏  |  浏览/下载：282/0  |  提交时间：2020/09/07
Learning systems  Training  Heuristic algorithms  Neural networks  Automation  Process control  Control engineering  Broad learning system (BLS)  incremental learning algorithm  noise and outliers  weighted penalty factor  
RES-Q: Robust Outlier Detection Algorithm for Fundamental Matrix Estimation 期刊论文
IEEE ACCESS, 2018, 卷号: 6, 页码: 48664-48674
作者:  Bharati, Sushil Pratap;  Cen, Feng;  Sharda, Ajay;  Wang, Guanghui
收藏  |  浏览/下载：205/0  |  提交时间：2019/12/16
Fundamental Matrix  Stereo Vision  Robust Statistics  Outliers Detection  
Identifying Multi-instance Outliers 会议论文
SIAM International Conference on Data Mining, Spain, 2010
作者:  Wu, Ou;  hu, weiming;  Gao, Jun
浏览  |  Adobe PDF(2672Kb)  |  收藏  |  浏览/下载：258/73  |  提交时间：2016/09/18
Multi-instance Outliers  
A study on the outlier mining system for LAMOST spectra 期刊论文
SPECTROSCOPY AND SPECTRAL ANALYSIS, 2007, 卷号: 27, 期号: 3, 页码: 606-609
作者:  Zhang Ji-fu;  Cai Jiang-hui
收藏  |  浏览/下载：184/0  |  提交时间：2015/11/08
Celestial Body Spectrum Data  Outliers  Clustering  Distance Support  
A new maximum margin algorithm for one-class problems and its boosting implementation 期刊论文
PATTERN RECOGNITION, 2005, 卷号: 38, 期号: 7, 页码: 1071-1077
作者:  Tao, Q;  Wu, GW;  Wang, J
收藏  |  浏览/下载：133/0  |  提交时间：2015/11/06
One-class Problems  Outliers  Statistical Learning Theory  Support Vector Machines  Margin  Boosting