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ZENODO
Software . 2018
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Software . 2018
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Software . 2018
Data sources: ZENODO
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sharad18/Face-Recognition-KNN: Face Recognition using K-Nearest Neighbours Algorithm.

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 06 Feb 2018Publisher:Zenodo
Authors: Sharad Jain;
Code repository: https://github.com/sharad18/Face-Recognition-KNN/tree/v1.0

doi: 10.5281/zenodo.1167693 , 10.5281/zenodo.1167694

sharad18/Face-Recognition-KNN: Face Recognition using K-Nearest Neighbours Algorithm.

Abstract

This program describes how to recognise face using the K-Nearest Neighbours Algorithm. It uses the openCV library and its haarcascade classifier to detect the facial features and KNN maps the dataset of the face to be recognised with an unknown face.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
0
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3