9783030659295 - genetic programming for image classification: an automated approach to feature learning: 24 di bi, ying; xue, bing; zhang, mengjie (11 risultati)

Lingua: Inglese
Editore: Springer, 2022
Serie: Libro 11 di 12 - Adaptation, Learning, and Optimization
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Altre immaginiLingua: Inglese
Editore: Springer, 2022
Serie: Libro 11 di 12 - Adaptation, Learning, and Optimization
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Taschenbuch. Condizione: Neu. Genetic Programming for Image Classification | An Automated Approach to Feature Learning | Ying Bi (u. a.) | Taschenbuch | Adaptation, Learning, and Optimization | xxviii | Englisch | 2022 | Springer | EAN 9783030659295 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69…121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Lingua: Inglese
Editore: Springer, 2022
Serie: Libro 11 di 12 - Adaptation, Learning, and Optimization
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Condizione: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.

Lingua: Inglese
Editore: Springer International Publishing, 2022
Serie: Libro 11 di 12 - Adaptation, Learning, and Optimization
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book offers several new GP approaches to feature learning for image classification. Image classification is an important task in computer vision and machine learning with a wide range of applications. Feature learning is a fundamental step in… image classification, but it is difficult due to the high variations of images. Genetic Programming (GP) is an evolutionary computation technique that can automatically evolve computer programs to solve any given problem. This is an important research field of GP and image classification. No book has been published in this field. This book shows how different techniques, e.g., image operators, ensembles, and surrogate, are proposed and employed to improve the accuracy and/or computational efficiency of GP for image classification. The proposed methods are applied to many different image classification tasks, and the effectiveness and interpretability of the learned models will be demonstrated. This book is suitable as a graduate andpostgraduate level textbook in artificial intelligence, machine learning, computer vision, and evolutionary computation.

Lingua: Inglese
Editore: Springer, 2022
Serie: Libro 11 di 12 - Adaptation, Learning, and Optimization
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Lingua: Inglese
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Serie: Libro 11 di 12 - Adaptation, Learning, and Optimization
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Lingua: Inglese
Editore: Springer International Publishing Feb 2022, 2022
Serie: Libro 11 di 12 - Adaptation, Learning, and Optimization
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book offers several new GP approaches to feature learning for image classification. Image classification is an important task in computer vision and machine learning with a wide range of applications. Feature learning is a fun…damental step in image classification, but it is difficult due to the high variations of images. Genetic Programming (GP) is an evolutionary computation technique that can automatically evolve computer programs to solve any given problem. This is an important research field of GP and image classification. No book has been published in this field. This book shows how different techniques, e.g., image operators, ensembles, and surrogate, are proposed and employed to improve the accuracy and/or computational efficiency of GP for image classification. The proposed methods are applied to many different image classification tasks, and the effectiveness and interpretability of the learned models will be demonstrated. This book is suitable as a graduate and postgraduate level textbook in artificial intelligence, machine learning, computer vision, and evolutionary computation. 288 pp. Englisch.

Lingua: Inglese
Editore: Springer International Publishing, 2022
Serie: Libro 11 di 12 - Adaptation, Learning, and Optimization
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Da: moluna, Greven, Germaniamoluna
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Introduces a series of typical Genetic Programming-based approaches to feature learning in image classificationProvides broad perceptive insights on what and how Genetic Programming can offer and shows a comprehensiv…e and systematic research route.

Lingua: Inglese
Editore: Springer, Springer Feb 2022, 2022
Serie: Libro 11 di 12 - Adaptation, Learning, and Optimization
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book offers several new GP approaches to feature learning for image classification. Image classification is an important task in computer vision and machine learning with a wide range of applications. Feature learning is a fundame…ntal step in image classification, but it is difficult due to the high variations of images. Genetic Programming (GP) is an evolutionary computation technique that can automatically evolve computer programs to solve any given problem. This is an important research field of GP and image classification. No book has been published in this field. This book shows how different techniques, e.g., image operators, ensembles, and surrogate, are proposed and employed to improve the accuracy and/or computational efficiency of GP for image classification. The proposed methods are applied to many different image classification tasks, and the effectiveness and interpretability of the learned models will be demonstrated. This book is suitable as a graduate andpostgraduate level textbook in artificial intelligence, machine learning, computer vision, and evolutionary computation.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 288 pp. Englisch.

Lingua: Inglese
Editore: Springer, 2022
Serie: Libro 11 di 12 - Adaptation, Learning, and Optimization
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Lingua: Inglese
Editore: Springer, 2022
Serie: Libro 11 di 12 - Adaptation, Learning, and Optimization
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