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Cross-model retrieval with deep learning for business application 会议论文
Busan, Korea, Republic of, 2020-11-14
作者:  Wang, Yufei;  Wang, Huanting;  Yang, Jiating;  Chen, Jianbo
收藏  |  浏览/下载：28/0  |  提交时间：2021/04/06
Remaining useful life prediction for multi-component systems with hidden dependencies 期刊论文
SCIENCE CHINA-INFORMATION SCIENCES, 2019, 卷号: 62, 期号: 2
作者:  Xi, Xiaopeng;  Chen, Maoyin;  Zhou, Donghua
收藏  |  浏览/下载：3/0  |  提交时间：2019/12/11
Multi-variable similarity-based information fusion method for remaining useful life prediction 期刊论文
Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS, 2018, 卷号: 24, 页码: 813-819
作者:  Liang, Zeming;  Jiang, Hongquan;  Zhou, Bingzhi;  Gao, Jianmin;  Gao, Zhiyong
收藏  |  浏览/下载：16/0  |  提交时间：2019/11/26
A Multi-Source Statistics Data-Driven Method for Remaining Useful Life Prediction of Aircraft Engine 期刊论文
Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University, 2017, 卷号: 51, 页码: 150-155 and 172
作者:  Zhao, Guangshe;  Wu, Sisi;  Rong, Haijun
收藏  |  浏览/下载：9/0  |  提交时间：2019/11/26
Multi-view Discriminant Dictionary Learning via Learning View-specific and Shared Structured Dictionaries for Image Classification 期刊论文
NEURAL PROCESSING LETTERS, 2017, 卷号: 45, 期号: 2
作者:  Wu, Fei;  Jing, Xiao-Yuan;  Yue, Dong
收藏  |  浏览/下载：3/0  |  提交时间：2019/12/05
人类摆脱摩擦困扰的新技术——超滑技术 期刊论文
2016, 2016
李津津; 雒建斌; LI Jin-jin; LUO Jian-bin
收藏  |  浏览/下载：3/0
Learning to detect concepts from Webly-Labeled video data 会议论文
作者:  Liang, Junwei;  Jiang, Lu;  Meng, Deyu;  Hauptmann, Alexander
收藏  |  浏览/下载：8/0  |  提交时间：2019/11/26
Study on time registration method for photoelectric theodolite data fusion (EI CONFERENCE) 会议论文
10th World Congress on Intelligent Control and Automation, WCICA 2012, July 6, 2012 - July 8, 2012, Beijing, China
Yang H.-T.; Gao H.-B.
收藏  |  浏览/下载：15/0  |  提交时间：2013/03/25
Evaluation of spatial upscaling methods based on remote sensing data with multiple spatial resolutions (EI CONFERENCE) 会议论文
Satellite Data Compression, Communications, and Processing VIII, August 12, 2012 - August 13, 2012, San Diego, CA, United states
Ren R.; Gu L.; Cao J.; Chen H.; Sun J.
收藏  |  浏览/下载：27/0  |  提交时间：2013/03/25
In most applications of remote sensing data  special spatial information is required from a finer to a coarser spatial resolution with appropriate upscaling methods. The purpose of this paper is to compare and evaluate current spatial upscaling methods using MODIS remote sensing data with multiple spatial resolutions. In the research  Northeast China was selected as the study area. MODIS data with spatial resolutions of 250 m (2 bands) and 500 m (7 bands) were used as the test data. Through using the selected upscaling methods  the Band 1 and Band 2 data of MODIS were scaled up from 250 m to 500 m spatial resolution. On the basis of land cover characteristics of Northeast China  the MODIS data located in the study area was classified into the five land cover types  including water  grasslands  forests  farmlands and bare lands using maximum likelihood method. The land cover classification results were further compared with MODIS Land Cover Type product. Finally  Structural Similarity (SSIM) was selected to evaluate the effects of these upscaling methods. The research can provide more useful information for spatial scaling transformation in remote sensing data applications. 2012 SPIE.  
Information extraction from laser speckle patterns using wavelet entropy techniques (EI CONFERENCE) 会议论文
MIPPR 2011: Multispectral Image Acquisition, Processing, and Analysis, November 4, 2011 - November 6, 2011, Guilin, China
Wang X.-J.; Li X.-Z.; Su S.-C.
收藏  |  浏览/下载：25/0  |  提交时间：2013/03/25
A novel speckle patterns processing method is presented using multi-scale wavelet techniques. Laser speckle patterns generated from the sample contained abundant information. In this paper  we propose a method using wavelet entropy techniques to analyze the speckle patterns and exact the information on the sample surface. In our case  we used this approach to test the solar silicon cell surface profiles based on the sym8 orthogonal wavelet family. According different wavelet entropy values  the micro-structure of different solar silicon cell surfaces were comparative analyzed. Furthermore  we studied the AFM and reflective spectra of the wafer. Results show that the wavelet entropy speckle processing method is effective and accurate. And the experiment proved that this method is a useful tool to investigate the surface profile quality. 2011 SPIE.  

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