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Record Nr. |
UNINA9910298963303321 |
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Titolo |
Adaptive Biometric Systems : Recent Advances and Challenges / / edited by Ajita Rattani, Fabio Roli, Eric Granger |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
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ISBN |
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Edizione |
[1st ed. 2015.] |
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Descrizione fisica |
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1 online resource (141 p.) |
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Collana |
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Advances in Computer Vision and Pattern Recognition, , 2191-6586 |
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Disciplina |
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Soggetti |
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Biometrics (Biology) |
Pattern recognition |
Signal processing |
Image processing |
Speech processing systems |
Artificial intelligence |
Biometrics |
Pattern Recognition |
Signal, Image and Speech Processing |
Artificial Intelligence |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references at the end of each chapters and index. |
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Sommario/riassunto |
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This 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- |
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