Retrieval of Similar Objects in Simulation Data Using Machine Learning Techniques

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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 finding 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 ... continued below

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Cantu-Paz, E; Cheung, S-C & Kamath, C June 19, 2003.

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Description

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 finding 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.

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PDF-file: 12 pages; size: 0.2 Mbytes

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  • Electronic Imaging, San Jose, CA, Jan 20 - Jan 24, 2003

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  • Report No.: UCRL-JC-153866
  • Grant Number: W-7405-ENG-48
  • Office of Scientific & Technical Information Report Number: 15004415
  • Archival Resource Key: ark:/67531/metadc1408331

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Office of Scientific & Technical Information Technical Reports

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  • June 19, 2003

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  • Jan. 23, 2019, 12:54 p.m.

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  • Feb. 4, 2019, 11:20 a.m.

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Cantu-Paz, E; Cheung, S-C & Kamath, C. Retrieval of Similar Objects in Simulation Data Using Machine Learning Techniques, article, June 19, 2003; Livermore, California. (https://digital.library.unt.edu/ark:/67531/metadc1408331/: accessed August 22, 2019), University of North Texas Libraries, Digital Library, https://digital.library.unt.edu; crediting UNT Libraries Government Documents Department.