Advances in Signal Processing and Intelligent Recognition Systems Proceedings of Second International Symposium on Signal Processing and Intelligent Recognition Systems (SIRS-2015) December 16-19, 2015, Trivandrum, India /

This Edited Volume contains a selection of refereed and revised papers originally presented at the second International Symposium on Signal Processing and Intelligent Recognition Systems (SIRS-2015), December 16-19, 2015, Trivandrum, India. The program committee received 175 submissions. Each paper...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Thampi, Sabu M. (Editor), Bandyopadhyay, Sanghamitra (Editor), Krishnan, Sri (Editor), Li, Kuan-Ching (Editor), Mosin, Sergey (Editor), Ma, Maode (Editor)
Format: e-Book
Language:English
Published: Cham : Springer International Publishing : 2016.
Imprint: Springer,
Edition:1st ed. 2016.
Series:Advances in Intelligent Systems and Computing, 425
Subjects:
Computational intelligence.
Artificial intelligence.
Signal processing.
Computational Intelligence.
Artificial Intelligence.
Signal, Speech and Image Processing.
Online Access:Full-text access
Description
Summary:This Edited Volume contains a selection of refereed and revised papers originally presented at the second International Symposium on Signal Processing and Intelligent Recognition Systems (SIRS-2015), December 16-19, 2015, Trivandrum, India. The program committee received 175 submissions. Each paper was peer reviewed by at least three or more independent referees of the program committee and the 59 papers were finally selected. The papers offer stimulating insights into biometrics, digital watermarking, recognition systems, image and video processing, signal and speech processing, pattern recognition, machine learning and knowledge-based systems. The book is directed to the researchers and scientists engaged in various field of signal processing and related areas. .
Physical Description:XXIV, 712 p. 349 illus., 149 illus. in color. online resource.
ISBN:9783319286587
ISSN:2194-5365 ;
DOI:10.1007/978-3-319-28658-7

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