Fisher kernel
id:
fisher-kernel-191-11412628
title:
Fisher kernel
text:
In statistical classification, the Fisher kernel, named after Ronald Fisher, is a function that measures the similarity of two objects on the basis of sets of measurements for each object and a statistical model. In a classification procedure, the class for a new object can be estimated by minimising, across classes, an average of the Fisher kernel distance from the new object to each known member of the given class. The Fisher kernel was introduced in 1998. It combines the advantages of generat
brand slug:
wiki
category slug:
encyclopedia
description:
original url:
https://en.wikipedia.org/wiki/Fisher_kernel
date created:
date modified:
2024-04-24T10:41:30Z
main entity:
{"identifier":"Q8563425","url":"https://www.wikidata.org/entity/Q8563425"}
image:
fields total:
13
integrity:
13