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Metrically regular mappings and its application to convergence analysis of a confined Newton-type method for nonsmooth generalized equations 期刊论文  OAI收割
SCIENCE CHINA-MATHEMATICS, 2019, 页码: 22
作者:  
Rashid, Mohammed Harunor;  Yuan, Ya-xiang
  |  收藏  |  浏览/下载:19/0  |  提交时间:2020/05/24
Stress overshoot and configuration-induced hysteresis in type-II superconducting films with a periodic pinning array 期刊论文  OAI收割
PHYSICAL REVIEW B, 2008, 卷号: 78, 期号: 17
Chen, QH; Carballeira, C; Nishio, T; Zhu, BY; Moshchalkov, VV
收藏  |  浏览/下载:24/0  |  提交时间:2013/09/24
A segment detection method based on improved Hough transform (EI CONFERENCE) 会议论文  OAI收割
ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China
作者:  
Yao Z.-J.
收藏  |  浏览/下载:25/0  |  提交时间:2013/03/25
Hough transform is recognized as a powerful tool in shape analysis which gives good results even in the presence of noise and the disconnection of edge. However  3. applying the standard Hough transform equation to every point of the input image edge  4. according to the local threshold  6. merging the segments whose extreme points are near. Experiment results show the approach not only can recognize regular geometric object but also can extract the segment feature of real targets in complex environment. So the proposed method can be used in the target detection of complicated scenes  traditional Hough transform can only detect the lines  2. quantizing the parameter space  and extracting a group of maximums according to the global threshold  eliminating spurious peaks which are caused by the spreading effects  and will improve the precision of tracking.  cannot give the endpoints and length of the line segments and it is vulnerable to the quantization errors. Based on the analysis of its limitations  Hough transform has been improved in order to detect line segment feature of targets. The algorithm aims to avoid the loss of spatial information  as well as to eliminate the spurious peaks and fix on the line segments endpoints accurately  5. fixing on the endpoints of the segments according to the dynamic clustering rule  which can expediently be used for the description and classification of regular objects. The method consists of 6 steps: 1. setting up the image  parameter and line-segment spaces  
A predictor-corrector algorithm for linear optimization based on a specific self-regular proximity function 期刊论文  OAI收割
SIAM JOURNAL ON OPTIMIZATION, 2005, 卷号: 15, 期号: 4, 页码: 1105-1127
作者:  
Peng, JM;  Terlaky, T;  Zhao, YB
  |  收藏  |  浏览/下载:21/0  |  提交时间:2018/07/30
Regular points in system spaces 期刊论文  OAI收割
LINEAR ALGEBRA AND ITS APPLICATIONS, 2003, 卷号: 365, 页码: 201-213
作者:  
Han, Y;  Liu, ML
  |  收藏  |  浏览/下载:14/0  |  提交时间:2018/07/30