This edited volume contains a selection of refereed and revised papers originally presented at the International Symposium on Signal Processing and Intelligent Recognition Systems (SIRS-2014), March 13-15, 2014, Trivandrum, India. The program committee received 134 submissions from 11 countries. Each paper was peer reviewed by at least three or more independent referees of the program committee and the 52 papers were finally selected. The papers offer stimulating insights into Pattern Recognition, Machine Learning and Knowledge-Based Systems; Signal and Speech Processing; Image and Video Processing; Mobile Computing and Applications and Computer Vision. The book is directed to the researchers and scientists engaged in various field of signal processing and related areas.
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This edited volume contains a selection of refereed and revised papers originally presented at the International Symposium on Signal Processing and Intelligent Recognition Systems (SIRS-2014), March 13-15, 2014, Trivandrum, India. The program committee received 134 submissions from 11 countries. Each paper was peer reviewed by at least three or more independent referees of the program committee and the 52 papers were finally selected. The papers offer stimulating insights into Pattern Recognition, Machine Learning and Knowledge-Based Systems; Signal and Speech Processing; Image and Video Processing; Mobile Computing and Applications and Computer Vision. The book is directed to the researchers and scientists engaged in various field of signal processing and related areas.
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Imprint | Springer International Publishing AG |
Country of origin | Switzerland |
Series | Advances in Intelligent Systems and Computing, 264 |
Release date | March 2014 |
Availability | Expected to ship within 10 - 15 working days |
First published | 2014 |
Editors | Sabu M. Thampi, Alexander Gelbukh, Jayanta Mukhopadhyay |
Dimensions | 235 x 155 x 33mm (L x W x T) |
Format | Paperback |
Pages | 612 |
Edition | 2014 ed. |
ISBN-13 | 978-3-319-04959-5 |
Barcode | 9783319049595 |
Categories | |
LSN | 3-319-04959-3 |