Advances in Feature Selection for Data and Pattern Recognition / Intelligent Systems Reference Library Bd.138 (PDF)
(Sprache: Englisch)
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...
The field of feature selection is evolving constantly, providing numerous new...
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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.
Bibliographische Angaben
- 2017, 1st ed. 2018, 328 Seiten, Englisch
- Herausgegeben: Urszula Stanczyk, Beata Zielosko, Lakhmi C. Jain
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3319675885
- ISBN-13: 9783319675886
- Erscheinungsdatum: 16.11.2017
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Größe: 9.82 MB
- Ohne Kopierschutz
- Vorlesefunktion
Sprache:
Englisch
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