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020 |
_a9783319248653 _z978-3-319-24865-3 |
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024 | 7 |
_a10.1007/978-3-319-24865-3 _2doi |
|
040 |
_aTR-AnTOB _beng _cTR-AnTOB _erda |
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_aUYQP _2bicssc |
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_aUYQV _2thema570.15195 _223 |
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245 | 1 | 0 |
_aAdaptive Biometric Systems : _bRecent Advances and Challenges / _cedited by Ajita Rattani, Fabio Roli, Eric Granger. |
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2015. |
|
300 | _a1 online resource | ||
336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
||
490 | 0 |
_aAdvances in Computer Vision and Pattern Recognition, _x2191-6586 |
|
520 | _aThis timely and interdisciplinary volume presents a detailed overview of the latest advances and challenges remaining in the field of adaptive biometric systems. A broad range of techniques are provided from an international selection of pre-eminent authorities, collected together under a unified taxonomy and designed to be applicable to any pattern recognition system. Topics and features: Presents a thorough introduction to the concept of adaptive biometric systems, detailing their taxonomy, levels of adaptation, and open issues and challenges Reviews systems for adaptive face recognition that perform self-updating of facial models using operational (unlabeled) data Describes a novel semi-supervised training strategy known as fusion-based co-training Examines the characterization and recognition of human gestures in videos Discusses a selection of learning techniques that can be applied to build an adaptive biometric system Investigates procedures for handling temporal variance in facial biometrics due to aging Proposes a score-level fusion scheme for an adaptive multimodal biometric system This comprehensive text/reference will be of great interest to researchers and practitioners engaged in systems science, information security or biometrics. Postgraduate and final-year undergraduate students of computer engineering will also appreciate the coverage of intelligent and adaptive schemes for cutting-edge pattern recognition and signal processing in changing environments. | ||
650 | 0 | _aBiometrics. | |
650 | 0 | _aOptical pattern recognition. | |
650 | 0 | _aArtificial intelligence. | |
650 | 1 | 4 |
_aBiometrics. _0http://scigraph.springernature.com/things/product-market-codes/I22040 |
650 | 2 | 4 |
_aPattern Recognition. _0http://scigraph.springernature.com/things/product-market-codes/I2203X |
650 | 2 | 4 |
_aSignal, Image and Speech Processing. _0http://scigraph.springernature.com/things/product-market-codes/T24051 |
650 | 2 | 4 |
_aArtificial Intelligence. _0http://scigraph.springernature.com/things/product-market-codes/I21000 |
700 | 1 |
_aRattani, Ajita. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
700 | 1 |
_aRoli, Fabio. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
700 | 1 |
_aGranger, Eric. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
710 | 2 | _aSpringerLink (Online service) | |
856 | 4 | 0 |
_3Springer eBooks _zOnline access link to the resource _uhttps://doi.org/10.1007/978-3-319-24865-3 |
942 |
_2lcc _cEBK |
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041 | _aeng |