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Feature Selection Algorithms Image by Srinivas Jagirdar (7 results)
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Feature Selection Algorithms in Image Processing: Computer Vision
Published by LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6203928453 ISBN 13: 9786203928457
Language: English
Condition: New.
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Feature Selection Algorithms in Image Processing
Published by LAP LAMBERT Academic Publishing Jul 2021, 2021
ISBN 10: 6203928453 ISBN 13: 9786203928457
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
US$ 47.91
Convert currencyUS$ 69.94 shipping from Germany to U.S.A.Quantity: 2 available
Add to basketTaschenbuch. Condition: Neu. Neuware -Most type of images are identified with the help of textures. Classifying the texture of an image is an important aspect of Image Classification and computer vision. Many fields like bio-metrics, remote sensing, document classification, object and face recognition require texture classification. Texture classification basically consists of two sub problems. The first problem is the feature extraction and the second problem is the classifier designation. This book discusses about some novel feature selection techniques developed to speed up the process of image classification.Books on Demand GmbH, Überseering 33, 22297 Hamburg 84 pp. Englisch.
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Feature Selection Algorithms in Image Processing
Published by LAP LAMBERT Academic Publishing Jul 2021, 2021
ISBN 10: 6203928453 ISBN 13: 9786203928457
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
US$ 47.91
Convert currencyUS$ 26.81 shipping from Germany to U.S.A.Quantity: 2 available
Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Most type of images are identified with the help of textures. Classifying the texture of an image is an important aspect of Image Classification and computer vision. Many fields like bio-metrics, remote sensing, document classification, object and face recognition require texture classification. Texture classification basically consists of two sub problems. The first problem is the feature extraction and the second problem is the classifier designation. This book discusses about some novel feature selection techniques developed to speed up the process of image classification. 84 pp. Englisch.
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Feature Selection Algorithms in Image Processing: Computer Vision
Published by LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6203928453 ISBN 13: 9786203928457
Language: English
US$ 65.24
Convert currencyUS$ 8.74 shipping from United Kingdom to U.S.A.Quantity: 4 available
Add to basketCondition: New. Print on Demand.
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Feature Selection Algorithms in Image Processing: Computer Vision
Published by LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6203928453 ISBN 13: 9786203928457
Language: English
US$ 71.94
Convert currencyUS$ 11.60 shipping from Germany to U.S.A.Quantity: 4 available
Add to basketCondition: New. PRINT ON DEMAND.
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Feature Selection Algorithms in Image Processing
Published by LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6203928453 ISBN 13: 9786203928457
Language: English
US$ 41.12
Convert currencyUS$ 57.10 shipping from Germany to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Srinivas JagirdarSrinivas Jagirdar and Ahmed Abdul Moiz Qyser hold doctoral degrees in computer science and engineering.Their research interests include Computer Vision, Software Engineering and Cloud Computing. Together they have au.
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Feature Selection Algorithms in Image Processing : Computer Vision
Published by LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6203928453 ISBN 13: 9786203928457
Language: English
US$ 49.10
Convert currencyUS$ 70.78 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Most type of images are identified with the help of textures. Classifying the texture of an image is an important aspect of Image Classification and computer vision. Many fields like bio-metrics, remote sensing, document classification, object and face recognition require texture classification. Texture classification basically consists of two sub problems. The first problem is the feature extraction and the second problem is the classifier designation. This book discusses about some novel feature selection techniques developed to speed up the process of image classification.
