Advances in Feature Selection for Data and Pattern Recognition: 138 - Rilegato

Rilegato

ISBN 10: 3319675877 ISBN 13: 9783319675879

Casa editrice: Springer-Verlag New York Inc, 2017

Riassunto

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.

Su questo libro

Dalla quarta di copertina

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.

Dettagli dell'edizione

• Editore: Springer-Verlag New York Inc
• Data di pubblicazione: 2017
• Lingua: Inglese
• ISBN 10: 3319675877
• ISBN 13: 9783319675879
• Rilegatura: Copertina rigida
• Numero edizione: 1
• Numero di pagine: 348
• Redattore: Stanczyk Urszula, Zielosko Beata, Jain Lakhmi C.
• Contatto del produttore: non disponibile
• Persona responsabile: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3,69115 Heidelberg, Germany; Heidelberg; 69115; Germania