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Algorithms and Software Increasing the Efficiency of Processing Multidimensional Heterogeneous Data

机译:算法和软件提高了处理多维异构数据的效率

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摘要

An algorithm of methods selection for processing multidimensional heterogeneous data based on the general properties of the data used and the methods included in the review is proposed in this paper. The algorithm is implemented in the form of software and a group of interpolation algorithms is compared by the example of the problem of constructing a 3D human face model for a person's recognition system. It is shown that the proposed algorithm for selecting data processing methods works successfully for a group of data interpolation methods.
机译:本文提出了一种基于所使用数据的一般属性和本综述中所包括的方法的多维异构数据处理方法选择算法。该算法以软件形式实现,并且以构造用于人的识别系统的3D人脸模型的问题为例比较了一组插值算法。结果表明,所提出的数据处理方法选择算法对于一组数据插值方法是成功的。

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