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[null,"1.","Record Nr.",null,"UNIORUON00306217"]
[null,null,"Autore",null,"GROSLIER, Bernard Philippe"]
[null,null,"Titolo",null,"Indochine / Bernard Philippe Groslier"]
[null,null,"Pubbl/distr/stampa",null,"Geneve, : Les Editions Nagel, 1966"]
[null,null,"Descrizione fisica",null,"286 p. : ill. ; 22 cm"]
[null,null,"Classificazione",null,"SEA IX A"]
[null,null,"Soggetti",null,"ARTE INDOCINESE - MANUALI"]
[{"$nulls":4},"ARCHITETTURA - INDOCINA - MANUALI"]
[null,null,"Lingua di pubblicazione",null,"Francese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,"2.","Record Nr.",null,"UNINA9910298963303321"]
[null,null,"Titolo",null,"Adaptive Biometric Systems : Recent Advances and Challenges / / edited by Ajita Rattani, Fabio Roli, Eric Granger"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015"]
[null,null,"ISBN",null,"9783319248653"]
[{"$nulls":4},"3319248650"]
[null,null,"Edizione",null,"[1st ed. 2015.]"]
[null,null,"Descrizione fisica",null,"1 online resource (141 p.)"]
[null,null,"Collana",null,"Advances in Computer Vision and Pattern Recognition, , 2191-6586"]
[null,null,"Disciplina",null,"006.4"]
[null,null,"Soggetti",null,"Biometry"]
[{"$nulls":4},"Pattern perception"]
[{"$nulls":4},"Signal processing"]
[{"$nulls":4},"Image processing"]
[{"$nulls":4},"Speech processing systems"]
[{"$nulls":4},"Artificial intelligence"]
[{"$nulls":4},"Biometrics"]
[{"$nulls":4},"Pattern Recognition"]
[{"$nulls":4},"Signal, Image and Speech Processing"]
[{"$nulls":4},"Artificial Intelligence"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references at the end of each chapters and index."]
[null,null,null,"Sommario/riassunto","This timely and interdisciplinary volume presents a detailed overview of the latest advances and challenges remaining in the field of adaptive biometric systems. A broad range of techniques are provided from an international selection of pre-eminent authorities, collected together under a unified taxonomy and designed to be applicable to any pattern recognition system. Topics and features: Presents a thorough introduction to the concept of adaptive biometric systems, detailing their taxonomy, levels of adaptation, and open issues and challenges Reviews systems for adaptive face recognition that perform self-updating of facial models using operational (unlabeled) data Describes a novel semi-supervised training strategy known as fusion-based co-training Examines the characterization and recognition of human "]
[{"$nulls":4},"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."]