The Shape Parameter in the Gaussian Function
Lin-Tian Luh
TL;DR
This paper investigates how the shape parameter in the Gaussian function affects error estimates and proposes criteria for selecting its optimal value.
Contribution
It introduces new criteria for choosing the optimal shape parameter in Gaussian functions to improve error estimation accuracy.
Findings
Proposed criteria for optimal shape parameter selection
Enhanced accuracy in error estimates using the new criteria
Guidelines for practical application of the criteria
Abstract
In this paper we explore the influence of the shape parameter in the gaussian function on error estimates and present a set of criteria for its optimal choice.
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Taxonomy
TopicsAdvanced Numerical Analysis Techniques · Numerical methods in inverse problems · Image and Object Detection Techniques