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The Method for Calculating Optical Target Center of Weak Contrast Collimating Image in Integrated Diagnosis System 会议论文
Xiamen, PEOPLES R CHINA, 2020-08-25
作者:  Wang, Zhengzhou;  Wang, Li;  Tan, Meng;  Chen, Yongquan;  Li, Gang
收藏  |  浏览/下载：12/0  |  提交时间：2021/06/04
Deep forest with local experts based on elm for pedestrian detection 会议论文
作者:  Zheng, Wenbo;  Cao, Sisi;  Jin, Xin;  Mo, Shaocong;  Gao, Han
收藏  |  浏览/下载：6/0  |  提交时间：2019/11/26
Utilization of Multi-channel Ocean LiDAR Data to Classify the Types of Waveform 会议论文
Conference on Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions, SEP 11-12, 2017
作者:  Huang, T.;  Tao, B.;  Chen, P.;  He, Y.;  Hu, S.
收藏  |  浏览/下载：7/0  |  提交时间：2019/12/31
A Fast Training Method for Transductive Support Vector Machine in Semi-supervised Learning 会议论文
3rd International Conference on High-Performance Computing and Applications (HPCA), 2015-07-26
作者:  Lu, Kai[1];  Xie, Jiang[2];  Shu, Junhui[3]
收藏  |  浏览/下载：3/0  |  提交时间：2019/04/26
Fast 3D Scene Segmentation and Classification with Sequential 2D Laser Scanning Data in Urban Environments 会议论文
35th Chinese Control Conference (CCC), Chengdu, PEOPLES R CHINA, 2016-07-27
作者:  Liu Hongkai;  He Guojian;  Yu Haichen;  Zhuang Yan;  Wang Wei
收藏  |  浏览/下载：2/0  |  提交时间：2019/12/09
Fast Implementation of Singular Spectrum Analysis for Effective Feature Extraction in Hyperspectral Imaging 会议论文
6th Workshop on Hyperspectral Image and Signal Processing (WHISPERS), Lausanne, SWITZERLAND, 2015-06-01
作者:  Zabalza, Jaime;  Ren, Jinchang;  Wang, Zheng;  Zhao, Huimin;  Wang, Jun
收藏  |  浏览/下载：15/0  |  提交时间：2020/01/06
A fast fault diagnosis method for wind turbine generator system based on rough set-decision tree 会议论文
作者:  Wang, Huizhong;  Peng, Anqun;  Wang, Xiaolan
收藏  |  浏览/下载：14/0  |  提交时间：2020/11/15
Infrared face recognition using linear subspace analysis (EI CONFERENCE) 会议论文
MIPPR 2009 - Pattern Recognition and Computer Vision: 6th International Symposium on Multispectral Image Processing and Pattern Recognition, October 30, 2009 - November 1, 2009, Yichang, China
Ge W.; Wang D.; Cheng Y.; Zhu M.
收藏  |  浏览/下载：26/0  |  提交时间：2013/03/25
Infrared image offers the main advantage over visible image of being invariant to illumination changes for face recognition. In this paper  based on the introduction of main methods of linear subspace analysis  such as Principal Component Analysis (PCA)  Linear Discriminant Analysis(LDA) and Fast Independent Component Analysis (FastICA)  the application of these methods to the recognition of infrared face images offered by OTCBVS workshop are investigated  and the advantages and disadvantages are compared. Experimental results show that the combination approach of PCA and LDA leads to better classification performance than single PCA approach or LDA approach  while the FastICA approach leads to the best classification performance with the improvement of nearly 5% compared with the combination approach. 2009 Copyright SPIE - The International Society for Optical Engineering.  

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