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Flexible Global Constraint Extension for Dynamic Time Warping

机译:灵活的全局约束扩展,可动态调整时间

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Dynamic Time Warping algorithm (DTW) is an effective tool for comparing two sequences which are subject to some kind of distortion. Unlike the standard methods for comparison, it is able to deal with a different length of compared sequences or with reasonable amount of inaccuracy. For this reason, DTW has become very popular and it is widely used in many domains. One of its the biggest advantages is a possibility to specify definable amount of benevolence while evaluating similarity of two sequences. It enables to percept similarity through the eyes of domain expert, in contrast with a strict sequential comparison of opposite sequence elements. Unfortunately, such commonly used definition of benevolence cannot be applied on DTW modifications, which were created for solving specific tasks (e.g. searching the longest common subsequence). The main goal of this paper is to eliminate weaknesses of commonly used approach and to propose a new flexible mechanism for definition of benevolence applicable to modifications of original DTW.
机译:动态时间规整算法(DTW)是比较两个受某种失真影响的序列的有效工具。与标准比较方法不同,它可以处理不同长度的比较序列或合理数量的不准确性。因此,DTW已变得非常流行,并已在许多领域中得到广泛使用。它的最大优点之一是可以在评估两个序列的相似性时指定可定义的慈善数量。与严格的相反序列元素比较相比,它可以通过领域专家的眼光来感知相似性。不幸的是,这种常用的慈善定义不能应用于为解决特定任务而创建的DTW修改(例如,搜索最长的公共子序列)。本文的主要目的是消除常用方法的弱点,并提出一种新的灵活的慈善定义机制,适用于原始DTW的修改。

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