中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
机构
采集方式
内容类型
发表日期
学科主题
筛选

浏览/检索结果: 共23条,第1-10条 帮助

条数/页: 排序方式:
Focusing on differences! Sample framework enhances semantic textual similarity with external knowledge 期刊论文  OAI收割
EXPERT SYSTEMS WITH APPLICATIONS, 2024, 卷号: 255, 页码: 10
作者:  
Feng, Jianzhou;  Liu, Junxin;  Gu, Chenghan;  Qi, Haotian;  Ren, Zhongcan
  |  收藏  |  浏览/下载:9/0  |  提交时间:2024/12/06
Validation of Spatial Prediction Models for Landslide Susceptibility Mapping by Considering Structural Similarity 期刊论文  OAI收割
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2017, 卷号: 6, 期号: 4
作者:  
Deng, Xiaolong;  Li, Lihui;  Tan, Yufang
  |  收藏  |  浏览/下载:15/0  |  提交时间:2017/11/16
Integrating heterogeneous information via flexible regularization framework for recommendation 期刊论文  OAI收割
KNOWLEDGE AND INFORMATION SYSTEMS, 2016, 卷号: 49, 期号: 3, 页码: 835-859
作者:  
Shi, Chuan;  Liu, Jian;  Zhuang, Fuzhen;  Yu, Philip S.;  Wu, Bin
  |  收藏  |  浏览/下载:19/0  |  提交时间:2019/12/13
Information Theory and Its Relation to Machine Learning 会议论文  OAI收割
Fuzhou, China, 2015
作者:  
Hu, Bao-Gang
  |  收藏  |  浏览/下载:28/0  |  提交时间:2018/01/05
Soil property variation mapping through data mining of soil category maps SCI/SSCI论文  OAI收割
2015
作者:  
Du F.;  Zhu, A. X.;  Band, L.;  Liu, J.
收藏  |  浏览/下载:25/0  |  提交时间:2015/12/09
Locality and similarity preserving embedding for feature selection 期刊论文  OAI收割
neurocomputing, 2014, 卷号: 128, 页码: 304-315
作者:  
Fang, Xiaozhao;  Xu, Yong;  Li, Xuelong;  Fan, Zizhu;  Liu, Hong
收藏  |  浏览/下载:50/0  |  提交时间:2015/03/18
Geometric-based approach for integrating VGI POIs and road networks SCI/SSCI论文  OAI收割
2014
作者:  
Lu F.
收藏  |  浏览/下载:41/0  |  提交时间:2014/12/24
A shape context based Hausdorff similarity measure in image matching 会议论文  OAI收割
5th International Symposium on Photoelectronic Detection and Imaging (ISPDI) - Infrared Imaging and Applications, Beijing, June 25-27, 2013
作者:  
Ma TL(马天磊);  Liu YP(刘云鹏);  Shi ZL(史泽林);  Yin J(尹健)
收藏  |  浏览/下载:36/0  |  提交时间:2013/12/26
The traditional Hausdorff measure, which uses Euclidean distance metric (L2 norm) to define the distance between coordinates of any two points, has poor performance in the presence of the rotation and scale change although it is robust to the noise and occlusion. To address the problem, we define a novel similarity function including two parts in this paper. The first part is Hausdorff distance between shapes which is calculated by exploiting shape context that is rotation and scale invariant as the distance metric. The second part is the cost of matching between centroids. Unlike the traditional method, we use the centroid as reference point to obtain its shape context that embodies global information of the shape. Experiment results demonstrate that the function value between shapes is rotation and scale invariant and the matching accuracy of our algorithm is higher than that of previously proposed algorithm on the MEPG-7 database.  
Dynamic financial contagion prediction model based on fuzzy information granularity SVM 会议论文  OAI收割
Budapest, Hungary, November 19, 2013 - November 21, 2013
作者:  
Liu L;  Shao YF(邵颖峰);  Hui XF
  |  收藏  |  浏览/下载:24/0  |  提交时间:2018/11/08
Image quality assessment based on complex representation of structure information (EI CONFERENCE) 会议论文  OAI收割
2011 International Conference on Electrical, Information Engineering and Mechatronics, EIEM 2011, December 23, 2011 - December 25, 2011, Jiaozuo, Henan, China
作者:  
Wang Y.;  Wang Y.;  Wang Y.;  Wang Y.;  Wang Y.
收藏  |  浏览/下载:30/0  |  提交时间:2013/03/25
Local variance and single pixel value are combined to describe image structure information using complex method in this paper in order to improve the consistency of objective image assessment result with that of subjective method. The effect of the detail structure information on the image quality was emphasized by this method accordingly. Singular value decomposition was performed on local variance distribution complex matrix. The angle between the singular value vectors of the reference image and the disturbed image was used to measure their structural similarity. Then the quality assessment process was achieved. Results from experiments show that the proposed method is better consistent with human visual system characteristics than MSE  PSNR  and SSIM. 2012 Springer-Verlag London Limited.