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pro vyhledávání: '"R. H. Latypov"'
Publikováno v:
Труды Института системного программирования РАН, Vol 29, Iss 4, Pp 55-72 (2018)
Gaussian convolution and its discrete analogue, Gauss transform, have many science and engineering applications, such as mathematical statistics, thermodynamics and machine learning, and are widely applied to computer vision and image processing task
Externí odkaz:
https://doaj.org/article/967bb07d17764068876a8cf5e6f067d7
Autor:
R. H. Latypov
Publikováno v:
Journal of Electronic Testing. 2:307-308
In a recent paper [1] a scheme for reducing error masking probability by modifying the output data before compaction has been proposed. The aim of the present comment is to direct one's attention to another method of modifier construction. The method