Facial emotion recognising memristive threshold logic system

dc.contributor.author	Mathew, Dayana
dc.contributor.author	Sasi Kumar, Dinesh
dc.contributor.author	James, Alex Pappachen
dc.date.accessioned	2017-01-06T05:22:01Z
dc.date.available	2017-01-06T05:22:01Z
dc.date.issued	2016-06-09
dc.identifier.citation	Mathew, D., Kumar, D. S., & James, A. P. (2016). Facial emotion recognising memristive threshold logic system. In 2015 IEEE Recent Advances in Intelligent Computational Systems, RAICS 2015. (pp. 39-44). [7488385] Institute of Electrical and Electronics Engineers Inc.. DOI: 10.1109/RAICS.2015.7488385	ru_RU
dc.identifier.uri	http://nur.nu.edu.kz/handle/123456789/2173
dc.description.abstract	The edge features in facial images change with changes in images, and are useful for automatically recognising the facial expressions. We present an edge feature extraction method using neuronal threshold logic models to automatically recognise the facial expressions.	ru_RU
dc.language.iso	en	ru_RU
dc.publisher	Institute of Electrical and Electronics Engineers Inc.	ru_RU
dc.rights	Attribution-NonCommercial-ShareAlike 3.0 United States	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-sa/3.0/us/	*
dc.subject	Computation theory	ru_RU
dc.subject	Computer circuits	ru_RU
dc.subject	Extraction	ru_RU
dc.subject	Feature extraction	ru_RU
dc.subject	Digital chips	ru_RU
dc.subject	Research Subject Categories::TECHNOLOGY::Information technology::Computer engineering	ru_RU
dc.title	Facial emotion recognising memristive threshold logic system	ru_RU
dc.type	Article	ru_RU