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Computational intelligence in patter...

CIPR (Conference) (2019 :)

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Computational intelligence in pattern recognition = proceedings of CIPR 2019 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Computational intelligence in pattern recognition/ edited by Asit Kumar Das ... [et al.].
Reminder of title:	proceedings of CIPR 2019 /
remainder title:	CIPR 2019
other author:	Das, Asit Kumar.
corporate name:	CIPR (Conference)
Published:	Singapore :Springer Singapore : : 2020.,
Description:	xxviii, 1046 p. :ill., digital ;24 cm.
[NT 15003449]:	Feature Selection using NSGA-II for Event Extraction on Genetic and Molecular Mechanisms Involved in Plant Seed Development -- An Improved Data Hiding Scheme through Image Interpolation -- Generalization Of Multi-bit Encoding Function based Data Hiding Scheme -- A Study on Reversible Image Watermarking Using Xilinx System Generator -- Statistical Analysis of the UNSW-NB15 Dataset for Intrusion Detection -- Singer Identification using MFCC and CRP features with Support Vector Machines -- Numerical Integration based Contrast Enhancement using Simpson's Method -- Empirical Analysis of Proximity Measures in Machine Learning -- Music Tagging and Similarity Analysis for Recommendation System -- Elastic Window for Multiple Face Detection and Tracking from Video -- Efficient Energy Management in Microgrids using Flower Pollination Algorithm -- Automatic Multilingual System from Speech.
Contained By:	Springer Nature eBook
Subject:	Pattern recognition systems - Congresses. -
Online resource:	https://doi.org/10.1007/978-981-13-9042-5
ISBN:	9789811390425

Computational intelligence in pattern recognition = proceedings of CIPR 2019 /
Computational intelligence in pattern recognitionproceedings of CIPR 2019 /[electronic resource] :CIPR 2019edited by Asit Kumar Das ... [et al.]. - Singapore :Springer Singapore :2020. - xxviii, 1046 p. :ill., digital ;24 cm. - Advances in intelligent systems and computing,v.9992194-5357 ;. - Advances in intelligent systems and computing ;v.999..

Feature Selection using NSGA-II for Event Extraction on Genetic and Molecular Mechanisms Involved in Plant Seed Development -- An Improved Data Hiding Scheme through Image Interpolation -- Generalization Of Multi-bit Encoding Function based Data Hiding Scheme -- A Study on Reversible Image Watermarking Using Xilinx System Generator -- Statistical Analysis of the UNSW-NB15 Dataset for Intrusion Detection -- Singer Identification using MFCC and CRP features with Support Vector Machines -- Numerical Integration based Contrast Enhancement using Simpson's Method -- Empirical Analysis of Proximity Measures in Machine Learning -- Music Tagging and Similarity Analysis for Recommendation System -- Elastic Window for Multiple Face Detection and Tracking from Video -- Efficient Energy Management in Microgrids using Flower Pollination Algorithm -- Automatic Multilingual System from Speech.

This book presents practical development experiences in different 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.

ISBN: 9789811390425

Standard No.: 10.1007/978-981-13-9042-5doiSubjects--Topical Terms:

563039
Pattern recognition systems
--Congresses.

LC Class. No.: TK7882.P3 / C56 2019

Dewey Class. No.: 006.4

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520 $a This book presents practical development experiences in different 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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