首页> 外文会议>10th France-Japan Congress, 8th Europe-Asia Congress on Mechatronics >Behavior analysis of Evolution Strategy Sample Consensus
【24h】

Behavior analysis of Evolution Strategy Sample Consensus

机译:进化策略样本共识的行为分析

获取原文
获取原文并翻译 | 示例

摘要

Recently, robust estimators are expected in various fields such as signal processing and machine learning. In our previous work, we proposed Evolution Strategy Sample Consensus (ESSAC) as a new robust estimator method and improved a trade off between a calculation time and stability of SAmple Consensus (SAC) algorithms. In this paper, we show several experiments for behavior analysis of ESSAC in order to discuss why ESSAC enable to search stably in the dataset including the huge number of noises. and analyze several experiments related with the fitness function of SAC and the behavior of ESSAC.
机译:近来,在诸如信号处理和机器学习之类的各个领域中期望鲁棒的估计器。在我们之前的工作中,我们提出了进化策略样本共识(ESSAC)作为一种新的鲁棒估计器方法,并改善了计算时间与SAmple Consensus(SAC)算法的稳定性之间的权衡。在本文中,我们展示了几个用于ESSAC行为分析的实验,以讨论ESSAC为什么能够在包含大量噪声的数据集中稳定地进行搜索。并分析了一些与SAC的适应度函数和ESSAC的行为有关的实验。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号