Retrieval of Similar Objects in Simulation Data Using Machine Learning Techniques

机译：使用机器学习技术检索模拟数据中的相似对象

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Comparing the output of a physics simulation with an experiment is often done by visually comparing the two outputs. In order to determine which simulation is a closer match to the experiment, more quantitative measures are needed. This paper describes our early experiences with this problem by considering the slightly simpler problem of rinding objects in a image that are similar to a given query object. Focusing on a dataset from a fluid mixing problem, we report on our experiments using classification techniques from machine learning to retrieve the objects of interest in the simulation data. The early results reported in this paper suggest that machine learning techniques can retrieve more objects that are similar to the query than distance-based similarity methods.

机译：物理模拟的输出与实验的比较通常是通过肉眼比较两个输出来完成的。为了确定哪个模拟与实验更匹配，需要更多的定量措施。本文通过考虑将图像中与给定查询对象相似的对象浸入的较为简单的问题，描述了我们对该问题的早期经验。着重关注流体混合问题的数据集，我们使用机器学习的分类技术报告我们的实验，以从模拟数据中检索感兴趣的对象。本文报道的早期结果表明，与基于距离的相似性方法相比，机器学习技术可以检索更多与查询相似的对象。

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来源
《Conference on Image Processing: Algorithms and Systems III; 20040119-20040121; San Jose,CA; US》|2004年|P.251-258|共8页
会议地点 San Jose CA(US)
作者
Erick Cantu-Paz; Sen-ching S. Cheung; Chandrika Kamath;
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作者单位

Center for Applied Scientific Computing, Lawrence Livermore National Laboratory, P.O. Box 808, L-551, Livermore, CA 94551;

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原文格式 PDF
正文语种 eng
中图分类图像信号处理;
关键词
machine learning; classification; similarity-based object retrieval; simulation data; turbulence;

机译：机器学习;分类;基于相似度的对象检索;模拟数据;湍流;

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4. Retrieval of Similar Objects in Simulation Data Using Machine Learning Techniques [C] . Erick Cantu-Paz, Sen-ching S. Cheung, Chandrika Kamath, Society of Photo-Optical Instrumentation Engineers Conference on Image Processing : Algorithms and Systems . 2004

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8. Retrieval of Similar Objects in Simulation Data Using Machine Learning Techniques [R] . Cantu-Paz, E., Cheung, S. C., Kamath, C. 2003

机译：利用机器学习技术检索仿真数据中的相似对象

Retrieval of Similar Objects in Simulation Data Using Machine Learning Techniques

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