Advances in Feature Selection for Data and Pattern Recognition (Intelligent Systems Reference Library, 138)
ISBN 10: 3319675877 ISBN 13: 9783319675879
Published by Springer, 2017
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This book presents recent developments and research trends in the field of feature selection for data and pattern recognition, highlighting a number of latest advances.
The field of feature selection is evolving constantly, providing numerous new algorithms, new solutions, and new applications. Some of the advances presented focus on theoretical approaches, introducing novel propositions highlighting and discussing properties of objects, and analysing the intricacies of processes and bounds on computational complexity, while others are dedicated to the specific requirements of application domains or the particularities of tasks waiting to be solved or improved.
Divided into four parts – nature and representation of data; ranking and exploration of features; image, shape, motion, and audio detection and recognition; decision support systems, it is of great interest to a large section of researchers including students, professorsand practitioners.
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This book presents recent developments and research trends in the field of feature selection for data and pattern recognition, highlighting a number of latest advances.
The field of feature selection is evolving constantly, providing numerous new algorithms, new solutions, and new applications. Some of the advances presented focus on theoretical approaches, introducing novel propositions highlighting and discussing properties of objects, and analysing the intricacies of processes and bounds on computational complexity, while others are dedicated to the specific requirements of application domains or the particularities of tasks waiting to be solved or improved.
Divided into four parts – nature and representation of data; ranking and exploration of features; image, shape, motion, and audio detection and recognition; decision support systems, it is of great interest to a large section of researchers including students, professorsand practitioners.
"About this title" may belong to another edition of this title.
Bibliographic Details
Title: Advances in Feature Selection for Data and ...
Publisher: Springer
Publication Date: 2017
Binding: Hardcover
Condition: New
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Advances in Feature Selection for Data and Pattern Recognition
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Buch. Condition: Neu. Neuware -This book presents recent developments and research trends in the field of featureselection for data and pattern recognition, highlighting a number of latest advances.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 348 pp. Englisch. Seller Inventory # 9783319675879
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Advances in Feature Selection for Data and Pattern Recognition
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ISBN 13: 9783319675879
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents recent developments and research trends in the field of feature selection for data and pattern recognition, highlighting a number of latest advances.The field of feature selection is evolving constantly, providing numerous new algorithms, new solutions, and new applications. Some of the advances presented focus on theoretical approaches, introducing novel propositions highlighting and discussing properties of objects, and analysing the intricacies of processes and bounds on computational complexity, while others are dedicated to the specific requirements of application domains or the particularities of tasks waiting to be solved or improved.Divided into four parts - nature and representation of data; ranking and exploration of features; image, shape, motion, and audio detection and recognition; decision support systems, it is of great interest to a large section of researchers including students, professorsand practitioners. Seller Inventory # 9783319675879
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Advances in Feature Selection for Data and Pattern Recognition
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ISBN 10: 3319675877
ISBN 13: 9783319675879
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents recent developments and research trends in the field of feature selection for data and pattern recognition, highlighting a number of latest advances.The field of feature selection is evolving constantly, providing numerous new algorithms, new solutions, and new applications. Some of the advances presented focus on theoretical approaches, introducing novel propositions highlighting and discussing properties of objects, and analysing the intricacies of processes and bounds on computational complexity, while others are dedicated to the specific requirements of application domains or the particularities of tasks waiting to be solved or improved.Divided into four parts - nature and representation of data; ranking and exploration of features; image, shape, motion, and audio detection and recognition; decision support systems, it is of great interest to a large section of researchers including students, professors and practitioners. 348 pp. Englisch. Seller Inventory # 9783319675879
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