Graph-based Strategy for Establishing Morphology Similarity

Graph-based Strategy for Establishing Morphology Similarity
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基于图的建立形态相似性的策略

DOI:
10.1145/3468791.3468819
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发表时间:
2021
期刊:
International Conference on Scientific and Statistical Database Management (SSDBM
影响因子:
--
通讯作者:
Wodo, Olga
Wodo, Olga
中科院分区:
--
文献类型:
--
作者:
Juneja, Namit;Zola, Jaroslaw;Chandola, Varun;Wodo, Olga

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形态学数据的分析是材料科学、天文学、生物医学和许多其他科学问题的核心。理解形态之间的关系是在这样的设置中的核心分析任务。在本文中,我们提出了一个基于图的框架来衡量形态之间的相似性。我们的框架提供了一个新的表示形态作为一个增强的图形,通过使用可配置的签名功能编码特定于应用程序的知识。它还提供了一个算法来计算一对形态图之间的相似性。我们目前的实验结果中,该框架被应用到形态数据,从高保真数值模拟中出现的材料科学。结果表明,我们提出的措施是上级在捕捉形态之间的语义相似性,相比,国家的最先进的方法,如基于FFT的措施。
Analysis of morphological data is central to a broad class of scientific problems in materials science, astronomy, bio-medicine, and many others. Understanding relationships between morphologies is a core analytical task in such settings. In this paper, we propose a graph-based framework for measuring similarity between morphologies. Our framework delivers a novel representation of a morphology as an augmented graph that encodes application-specific knowledge through the use of configurable signature functions. It provides also an algorithm to compute the similarity between a pair of morphology graphs. We present experimental results in which the framework is applied to morphology data from high-fidelity numerical simulations that emerge in materials science. The results demonstrate that our proposed measure is superior in capturing the semantic similarity between morphologies, compared to the state-of-the-art methods such as FFT-based measures.
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DOI: 10.3390/a13020030
发表时间: 2020
期刊: Algorithms
影响因子: 2.3
作者:
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DOI: --
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