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Please use this identifier to cite or link to this item: https://scholarhub.balamand.edu.lb/handle/uob/3271
DC FieldValueLanguage
dc.contributor.advisorDagher, Issamen_US
dc.contributor.authorAdhami, Farahen_US
dc.contributor.authorWehby, Mouniraen_US
dc.date.accessioned2020-12-23T14:34:47Z-
dc.date.available2020-12-23T14:34:47Z-
dc.date.issued2007-
dc.identifier.urihttps://scholarhub.balamand.edu.lb/handle/uob/3271-
dc.descriptionIncludes bibliographical references (p. 72).en_US
dc.description.statementofresponsibilityby Farah Adhami, Mounira Wehbyen_US
dc.format.extentx, 72 p. :ill., tables ;30 cm +2 CD-Rom (4 3/4 in.)en_US
dc.language.isoengen_US
dc.rightsThis object is protected by copyright, and is made available here for research and educational purposes. Permission to reuse, publish, or reproduce the object beyond the personal and educational use exceptions must be obtained from the copyright holderen_US
dc.subject.lcshFace recognition systemen_US
dc.titleBinary tree of SVM : a new fast multiclass training and classification algorithmen_US
dc.typeProjecten_US
dc.contributor.departmentDepartment of Electrical Engineeringen_US
dc.contributor.facultyFaculty of Engineeringen_US
dc.contributor.institutionUniversity of Balamanden_US
dc.date.catalogued2007-11-16-
dc.description.degreeMS in Electrical Engineeringen_US
dc.description.statusUnpublisheden_US
dc.identifier.OlibID83222-
dc.provenance.recordsourceOliben_US
Appears in Collections:UOB Theses and Projects
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