Facial emotion recognising memristive threshold logic system

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dc.contributor.authorMathew, Dayana
dc.contributor.authorSasi Kumar, Dinesh
dc.contributor.authorJames, Alex Pappachen
dc.date.accessioned2017-01-06T05:22:01Z
dc.date.available2017-01-06T05:22:01Z
dc.date.issued2016-06-09
dc.description.abstractThe 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.identifier.citationMathew, 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.2015.7488385ru_RU
dc.identifier.urihttp://nur.nu.edu.kz/handle/123456789/2173
dc.language.isoenru_RU
dc.publisherInstitute of Electrical and Electronics Engineers Inc.ru_RU
dc.rightsAttribution-NonCommercial-ShareAlike 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/us/*
dc.subjectComputation theoryru_RU
dc.subjectComputer circuitsru_RU
dc.subjectExtractionru_RU
dc.subjectFeature extractionru_RU
dc.subjectDigital chipsru_RU
dc.subjectResearch Subject Categories::TECHNOLOGY::Information technology::Computer engineeringru_RU
dc.titleFacial emotion recognising memristive threshold logic systemru_RU
dc.typeArticleru_RU

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