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Machine Learning Techniques for Gait Biometric Recognition : Using the Ground Reaction Force
Editore: Springer International Publishing, 2016
ISBN 10: 331929086X ISBN 13: 9783319290867
Lingua: Inglese
Condizione: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher.
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Machine Learning Techniques for Gait Biometric Recognition: Using the Ground Reaction Force
Da: Ria Christie Collections, Uxbridge, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 58,54
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Machine Learning Techniques for Gait Biometric Recognition : Using the Ground Reaction Force
Editore: Springer International Publishing, 2016
ISBN 10: 331929086X ISBN 13: 9783319290867
Lingua: Inglese
EUR 53,49
Convertire valutaEUR 14,99 per la spedizione da Germania a ItaliaQuantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book focuses on how machine learning techniques can be used to analyze and make use of one particular category of behavioral biometrics known as the gait biometric. A comprehensive Ground Reaction Force (GRF)-based Gait Biometrics Recognition framework is proposed and validated by experiments. In addition, an in-depth analysis of existing recognition techniques that are best suited for performing footstep GRF-based person recognition is also proposed, as well as a comparison of feature extractors, normalizers, and classifiers configurations that were never directly compared with one another in any previous GRF recognition research. Finally, a detailed theoretical overview of many existing machine learning techniques is presented, leading to a proposal of two novel data processing techniques developed specifically for the purpose of gait biometric recognition using GRF.This book introduces novel machine-learning-based temporal normalization techniques bridges research gaps concerning the effect of footwear and stepping speed on footstep GRF-based person recognition provides detailed discussions of key research challenges and open research issues in gait biometrics recognition compares biometrics systems trained and tested with the same footwear against those trained and tested with different footwear.
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Machine Learning Techniques for Gait Biometric Recognition
Editore: Springer International Publishing, Springer International Publishing Feb 2016, 2016
ISBN 10: 331929086X ISBN 13: 9783319290867
Lingua: Inglese
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Valutazione del venditore 5 su 5 stelle
EUR 53,49
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Aggiungi al carrelloBuch. Condizione: Neu. Neuware -This book focuses on how machine learning techniques can be used to analyze and make use of one particular category of behavioral biometrics known as the gait biometric. A comprehensive Ground Reaction Force (GRF)-based Gait Biometrics Recognition framework is proposed and validated by experiments. In addition, an in-depth analysis of existing recognition techniques that are best suited for performing footstep GRF-based person recognition is also proposed, as well as a comparison of feature extractors, normalizers, and classifiers configurations that were never directly compared with one another in any previous GRF recognition research. Finally, a detailed theoretical overview of many existing machine learning techniques is presented, leading to a proposal of two novel data processing techniques developed specifically for the purpose of gait biometric recognition using GRF.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 260 pp. Englisch.
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Machine Learning Techniques for Gait Biometric Recognition : Using the Ground Reaction Force
Editore: Springer International Publishing, Springer International Publishing, 2018
ISBN 10: 3319804863 ISBN 13: 9783319804866
Lingua: Inglese
EUR 53,49
Convertire valutaEUR 14,99 per la spedizione da Germania a ItaliaQuantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book focuses on how machine learning techniques can be used to analyze and make use of one particular category of behavioral biometrics known as the gait biometric. A comprehensive Ground Reaction Force (GRF)-based Gait Biometrics Recognition framework is proposed and validated by experiments. In addition, an in-depth analysis of existing recognition techniques that are best suited for performing footstep GRF-based person recognition is also proposed, as well as a comparison of feature extractors, normalizers, and classifiers configurations that were never directly compared with one another in any previous GRF recognition research. Finally, a detailed theoretical overview of many existing machine learning techniques is presented, leading to a proposal of two novel data processing techniques developed specifically for the purpose of gait biometric recognition using GRF.This book introduces novel machine-learning-based temporal normalization techniques bridges research gaps concerning the effect of footwear and stepping speed on footstep GRF-based person recognition provides detailed discussions of key research challenges and open research issues in gait biometrics recognition compares biometrics systems trained and tested with the same footwear against those trained and tested with different footwear.
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Machine Learning Techniques for Gait Biometric Recognition
Editore: Springer International Publishing, Springer International Publishing Mär 2018, 2018
ISBN 10: 3319804863 ISBN 13: 9783319804866
Lingua: Inglese
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Valutazione del venditore 5 su 5 stelle
EUR 53,49
Convertire valutaEUR 15,00 per la spedizione da Germania a ItaliaQuantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware -This book focuses on how machine learning techniques can be used to analyze and make use of one particular category of behavioral biometrics known as the gait biometric. A comprehensive Ground Reaction Force (GRF)-based Gait Biometrics Recognition framework is proposed and validated by experiments. In addition, an in-depth analysis of existing recognition techniques that are best suited for performing footstep GRF-based person recognition is also proposed, as well as a comparison of feature extractors, normalizers, and classifiers configurations that were never directly compared with one another in any previous GRF recognition research. Finally, a detailed theoretical overview of many existing machine learning techniques is presented, leading to a proposal of two novel data processing techniques developed specifically for the purpose of gait biometric recognition using GRF.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 260 pp. Englisch.
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Machine Learning Techniques for Gait Biometric Recognition : Using the Ground Reaction Force
Da: GreatBookPrices, Columbia, MD, U.S.A.
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Machine Learning Techniques for Gait Biometric Recognition : Using the Ground Reaction Force
Da: GreatBookPrices, Columbia, MD, U.S.A.
Valutazione del venditore 5 su 5 stelle
EUR 53,44
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Machine Learning Techniques for Gait Biometric Recognition: Using the Ground Reaction Force
Da: Ria Christie Collections, Uxbridge, Regno Unito
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EUR 60,55
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Machine Learning Techniques for Gait Biometric Recognition: Using the Ground Reaction Force
Da: California Books, Miami, FL, U.S.A.
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EUR 64,96
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Machine Learning Techniques for Gait Biometric Recognition : Using the Ground Reaction Force
Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Machine Learning Techniques for Gait Biometric Recognition : Using the Ground Reaction Force
Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Machine Learning Techniques for Gait Biometric Recognition : Using the Ground Reaction Force
Da: GreatBookPrices, Columbia, MD, U.S.A.
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Machine Learning Techniques for Gait Biometric Recognition : Using the Ground Reaction Force
Da: GreatBookPrices, Columbia, MD, U.S.A.
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EUR 61,24
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Machine Learning Techniques for Gait Biometric Recognition : Using the Ground Reaction Force
Da: Chiron Media, Wallingford, Regno Unito
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Machine Learning Techniques for Gait Biometric Recognition: Using the Ground Reaction Force
Da: Books Puddle, New York, NY, U.S.A.
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Machine Learning Techniques for Gait Biometric Recognition : Using the Ground Reaction Force
Da: GreatBookPricesUK, Woodford Green, Regno Unito
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EUR 66,40
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Machine Learning Techniques for Gait Biometric Recognition : Using the Ground Reaction Force
Da: GreatBookPricesUK, Woodford Green, Regno Unito
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EUR 66,37
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Machine Learning Techniques for Gait Biometric Recognition: Using the Ground Reaction Force
Da: Revaluation Books, Exeter, Regno Unito
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EUR 79,27
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Aggiungi al carrelloHardcover. Condizione: Brand New. 260 pages. 9.25x6.25x0.75 inches. In Stock.
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Machine Learning Techniques for Gait Biometric Recognition: Using the Ground Reaction Force
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
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EUR 52,27
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Machine Learning Techniques for Gait Biometric Recognition: Using the Ground Reaction Force
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
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EUR 52,27
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Machine Learning Techniques for Gait Biometric Recognition
Editore: Springer International Publishing, 2016
ISBN 10: 331929086X ISBN 13: 9783319290867
Lingua: Inglese
EUR 48,37
Convertire valutaEUR 9,70 per la spedizione da Germania a ItaliaQuantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Introduces novel machine-learning-based temporal normalization techniquesBridges research gaps concerning the effect of footwear and stepping speed on footstep GRF-based person recognitionProvides detailed discussions of key research challe.
-
Machine Learning Techniques for Gait Biometric Recognition
Editore: Springer International Publishing, 2018
ISBN 10: 3319804863 ISBN 13: 9783319804866
Lingua: Inglese
EUR 48,37
Convertire valutaEUR 9,70 per la spedizione da Germania a ItaliaQuantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Introduces novel machine-learning-based temporal normalization techniquesBridges research gaps concerning the effect of footwear and stepping speed on footstep GRF-based person recognitionProvides detailed discussions of key research challe.
-
Machine Learning Techniques for Gait Biometric Recognition
Editore: Springer International Publishing Mrz 2018, 2018
ISBN 10: 3319804863 ISBN 13: 9783319804866
Lingua: Inglese
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Valutazione del venditore 5 su 5 stelle
EUR 53,49
Convertire valutaEUR 11,00 per la spedizione da Germania a ItaliaQuantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book focuses on how machine learning techniques can be used to analyze and make use of one particular category of behavioral biometrics known as the gait biometric. A comprehensive Ground Reaction Force (GRF)-based Gait Biometrics Recognition framework is proposed and validated by experiments. In addition, an in-depth analysis of existing recognition techniques that are best suited for performing footstep GRF-based person recognition is also proposed, as well as a comparison of feature extractors, normalizers, and classifiers configurations that were never directly compared with one another in any previous GRF recognition research. Finally, a detailed theoretical overview of many existing machine learning techniques is presented, leading to a proposal of two novel data processing techniques developed specifically for the purpose of gait biometric recognition using GRF.This book introduces novel machine-learning-based temporal normalization techniques bridges research gaps concerning the effect of footwear and stepping speed on footstep GRF-based person recognition provides detailed discussions of key research challenges and open research issues in gait biometrics recognition compares biometrics systems trained and tested with the same footwear against those trained and tested with different footwear 260 pp. Englisch.
-
Machine Learning Techniques for Gait Biometric Recognition
Editore: Springer International Publishing Feb 2016, 2016
ISBN 10: 331929086X ISBN 13: 9783319290867
Lingua: Inglese
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Valutazione del venditore 5 su 5 stelle
EUR 53,49
Convertire valutaEUR 11,00 per la spedizione da Germania a ItaliaQuantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book focuses on how machine learning techniques can be used to analyze and make use of one particular category of behavioral biometrics known as the gait biometric. A comprehensive Ground Reaction Force (GRF)-based Gait Biometrics Recognition framework is proposed and validated by experiments. In addition, an in-depth analysis of existing recognition techniques that are best suited for performing footstep GRF-based person recognition is also proposed, as well as a comparison of feature extractors, normalizers, and classifiers configurations that were never directly compared with one another in any previous GRF recognition research. Finally, a detailed theoretical overview of many existing machine learning techniques is presented, leading to a proposal of two novel data processing techniques developed specifically for the purpose of gait biometric recognition using GRF.This book introduces novel machine-learning-based temporal normalization techniques bridges research gaps concerning the effect of footwear and stepping speed on footstep GRF-based person recognition provides detailed discussions of key research challenges and open research issues in gait biometrics recognition compares biometrics systems trained and tested with the same footwear against those trained and tested with different footwear 260 pp. Englisch.
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Machine Learning Techniques for Gait Biometric Recognition: Using the Ground Reaction Force
Da: Majestic Books, Hounslow, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 75,43
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Aggiungi al carrelloCondizione: New. Print on Demand pp. 223.
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Machine Learning Techniques for Gait Biometric Recognition: Using the Ground Reaction Force
Da: Biblios, Frankfurt am main, HESSE, Germania
Valutazione del venditore 5 su 5 stelle
EUR 78,36
Convertire valutaEUR 7,95 per la spedizione da Germania a ItaliaQuantità: 4 disponibili
Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. 223.
