Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/129523
Full metadata record
DC FieldValueLanguage
dc.contributor.authorMax Chester
dc.contributor.authorDaryl Arredondo
dc.contributor.authorKai He
dc.contributor.authorJiwon Choe
dc.date.accessioned2017-04-30T13:30:14Z-
dc.date.available2017-04-30T13:30:14Z-
dc.date.issued2011
dc.identifier.urihttp://hdl.handle.net/123456789/129523-
dc.description.abstractReport of an ELEC 301 Project on Facial Expression Recognition by Support Vector Machines. This collection will walk you through an introduction of the team and motivation behind the project. It will give you the implementation, the algorithm used, limitations, results and conclusions of this project.
dc.language.isoeng
dc.publisherRice University
dc.relation.urihttps://cnx.org/contents/355637ef-7090-4b10-9a0b-719b5960a66b@1.1/Facial_Expression_Recognition_
dc.rights.uriCreative Commons Attribution License ( 3.0)
dc.sourceopenstax cnx
dc.subject.classificationScience and Technology
dc.subject.otherExpression
dc.subject.otherFacial
dc.subject.otherRecognition
dc.titleFacial Expression Recognition by Support Vector Machines
dc.type電子教課書
dc.classification自然科學類
Theme:教科書-自然科學類

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.