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Advances in Feature Selection for Data and Pattern Recognition

Advances in Feature Selection for Data and Pattern Recognition - Intelligent Systems Reference Library

Softcover reprint of the original 1st Edition 2018

Paperback (01 Sep 2018)

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Publisher's Synopsis

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.

Book information

ISBN: 9783319884523
Publisher: Springer International Publishing
Imprint: Springer
Pub date:
Edition: Softcover reprint of the original 1st Edition 2018
Language: English
Number of pages: 328
Weight: 534g
Height: 235mm
Width: 155mm