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dc.contributor.editorRamakrishnan, S.
dc.date.accessioned2021-04-20T15:55:22Z
dc.date.available2021-04-20T15:55:22Z
dc.date.issued2016
dc.identifierONIX_20210420_9789535124221_2208
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/66849
dc.description.abstractPattern recognition has gained significant attention due to the rapid explosion of internet- and mobile-based applications. Among the various pattern recognition applications, face recognition is always being the center of attraction. With so much of unlabeled face images being captured and made available on internet (particularly on social media), conventional supervised means of classifying face images become challenging. This clearly warrants for semi-supervised classification and subspace projection. Another important concern in face recognition system is the proper and stringent evaluation of its capability. This book is edited keeping all these factors in mind. This book is composed of five chapters covering introduction, overview, semi-supervised classification, subspace projection, and evaluation techniques.
dc.languageEnglish
dc.subject.classificationthema EDItEUR::U Computing and Information Technology::UR Computer securityen_US
dc.subject.otherComputer security
dc.titleFace Recognition
dc.title.alternativeSemisupervised Classification, Subspace Projection and Evaluation Methods
dc.typebook
oapen.identifier.doi10.5772/61471
oapen.relation.isPublishedBy78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6
oapen.relation.isbn9789535124221
oapen.relation.isbn9789535124214
oapen.relation.isbn9789535157830
oapen.imprintIntechOpen
oapen.pages102


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