Computational Intelligence in Pattern Recognition - Proceedings of CIPR 2021 (Paperback, 1st ed. 2022)


This book features high-quality research papers presented at the 3rd International Conference on Computational Intelligence in Pattern Recognition (CIPR 2021), held at the Institute of Engineering and Management, Kolkata, West Bengal, India, on 24 - 25 April 2021. It includes practical development experiences in various areas of data analysis and pattern recognition, focusing on soft computing technologies, clustering and classification algorithms, rough set and fuzzy set theory, evolutionary computations, neural science and neural network systems, image processing, combinatorial pattern matching, social network analysis, audio and video data analysis, data mining in dynamic environments, bioinformatics, hybrid computing, big data analytics and deep learning. It also provides innovative solutions to the challenges in these areas and discusses recent developments.

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Product Description

This book features high-quality research papers presented at the 3rd International Conference on Computational Intelligence in Pattern Recognition (CIPR 2021), held at the Institute of Engineering and Management, Kolkata, West Bengal, India, on 24 - 25 April 2021. It includes practical development experiences in various areas of data analysis and pattern recognition, focusing on soft computing technologies, clustering and classification algorithms, rough set and fuzzy set theory, evolutionary computations, neural science and neural network systems, image processing, combinatorial pattern matching, social network analysis, audio and video data analysis, data mining in dynamic environments, bioinformatics, hybrid computing, big data analytics and deep learning. It also provides innovative solutions to the challenges in these areas and discusses recent developments.

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Product Details

General

Imprint

Springer Verlag, Singapore

Country of origin

Singapore

Series

Advances in Intelligent Systems and Computing, 1349

Release date

September 2021

Availability

Expected to ship within 12 - 17 working days

First published

2022

Editors

, , , ,

Dimensions

235 x 155mm (L x W)

Format

Paperback

Pages

765

Edition

1st ed. 2022

ISBN-13

978-981-16-2542-8

Barcode

9789811625428

Categories

LSN

981-16-2542-5



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