Tiny convolution, decision tree, and binary neuronal networks for robust and real time pupil outline estimation

dc.contributor.author	Fuhl, Wolfgang
dc.contributor.author	Gao, Hong
dc.contributor.author	Kasneci, Enkelejda
dc.date.accessioned	2021-06-22T15:09:27Z
dc.date.available	2021-06-22T15:09:27Z
dc.date.issued	2020-06
dc.identifier.isbn	78-1-4503-7134-6
dc.identifier.uri	http://hdl.handle.net/10900/116439
dc.language.iso	en	de_DE
dc.publisher	ACM	de_DE
dc.relation.uri	http://dx.doi.org/10.1145/3379156.3391347	de_DE
dc.subject.ddc	004	de_DE
dc.title	Tiny convolution, decision tree, and binary neuronal networks for robust and real time pupil outline estimation	de_DE
dc.type	Article	de_DE
dc.type	ConferenceObject	de_DE
utue.publikation.seiten	1-5	de_DE
utue.personen.roh	Fuhl, Wolfgang
utue.personen.roh	Gao, Hong
utue.personen.roh	Kasneci, Enkelejda
dcterms.isPartOf.ZSTitelID	ETRA '20 Short Papers: ACM Symposium on Eye Tracking Research and Applications	de_DE
dcterms.isPartOf.ZS-Issue	Article No.: 5	de_DE

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