000			02041naaaa2200313uu 4500
001			https://directory.doabooks.org/handle/20.500.12854/66849
005			20220220050416.0
020			_a61471
020			_a9789535124221
020			_a9789535124214
020			_a9789535157830
024	7		_a10.5772/61471 _cdoi
041	0		_aEnglish
042			_adc
072		7	_aUR _2bicssc
100	1		_aRamakrishnan, S. _4edt
700	1		_aRamakrishnan, S. _4oth
245	1	0	_aFace Recognition : Semisupervised Classification, Subspace Projection and Evaluation Methods
260			_bIntechOpen _c2016
300			_a1 electronic resource (102 p.)
506	0		_aOpen Access _2star _fUnrestricted online access
520			_aPattern 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.
540			_aCreative Commons _fhttps://creativecommons.org/licenses/by/3.0/ _2cc _4https://creativecommons.org/licenses/by/3.0/
546			_aEnglish
650		7	_aComputer security _2bicssc
653			_aComputer security
856	4	0	_awww.oapen.org _uhttps://mts.intechopen.com/storage/books/5183/authors_book/authors_book.pdf _70 _zDOAB: download the publication
856	4	0	_awww.oapen.org _uhttps://directory.doabooks.org/handle/20.500.12854/66849 _70 _zDOAB: description of the publication
999			_c66781 _d66781