9783030659264 - 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, 2021
Serie: Adaptation, Learning, and Optimization, Libro 11 di 12. Libro 11 di 12 - Adaptation, Learning, and Optimization
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Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections
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Lingua: Inglese
Editore: Springer, 2021
Serie: Adaptation, Learning, and Optimization, Libro 11 di 12. 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, 2021
Serie: Adaptation, Learning, and Optimization, Libro 11 di 12. Libro 11 di 12 - Adaptation, Learning, and Optimization
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Buch. 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 Nature, 2021
Serie: Adaptation, Learning, and Optimization, Libro 11 di 12. Libro 11 di 12 - Adaptation, Learning, and Optimization
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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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Hardcover. Condizione: Brand New. 286 pages. 9.25x6.10x0.83 inches. In Stock.
Lingua: Inglese
Editore: Springer, 2021
Serie: Adaptation, Learning, and Optimization, Libro 11 di 12. Libro 11 di 12 - Adaptation, Learning, and Optimization
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Da: Mispah books, Redhill, SURRE, Regno UnitoMispah books
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Hardcover. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Lingua: Inglese
Editore: Springer, 2021
Serie: Adaptation, Learning, and Optimization, Libro 11 di 12. Libro 11 di 12 - Adaptation, Learning, and Optimization
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Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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Condizione: new. Questo è un articolo print on demand.
Lingua: Inglese
Editore: Springer International Publishing Feb 2021, 2021
Serie: Adaptation, Learning, and Optimization, Libro 11 di 12. 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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Buch. 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 fundamenta…l 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, 2021
Serie: Adaptation, Learning, and Optimization, Libro 11 di 12. Libro 11 di 12 - Adaptation, Learning, and Optimization
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Da: moluna, Greven, Germaniamoluna
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Gebunden. 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 classification Provides broad perceptive insights on what and how Genetic Programming can offer and shows a c…omprehensive and systematic resear.
Lingua: Inglese
Editore: Springer, 2021
Serie: Adaptation, Learning, and Optimization, Libro 11 di 12. Libro 11 di 12 - Adaptation, Learning, and Optimization
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Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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Condizione: New. Print on Demand.
Lingua: Inglese
Editore: Springer, Springer Feb 2021, 2021
Serie: Adaptation, Learning, and Optimization, Libro 11 di 12. Libro 11 di 12 - Adaptation, Learning, and Optimization
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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Buch. 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 fundamental st…ep 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, 2021
Serie: Adaptation, Learning, and Optimization, Libro 11 di 12. Libro 11 di 12 - Adaptation, Learning, and Optimization
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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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