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Graph-based keyword spotting

Record Type:	Electronic resources : Monograph/item
Title/Author:	Graph-based keyword spottingMichael Stauffer, Andreas Fischer, Kaspar Riesen.
Author:	Stauffer, Michael.
other author:	Fischer, Andreas.
Published:	Singapore :World Scientific,c2020.
Description:	1 online resource (xxxi, 264 p.)
Subject:	Pattern recognition systems.
Online resource:	https://www.worldscientific.com/worldscibooks/10.1142/11452#t=toc
ISBN:	9789811206634$q(electronic bk.)

Graph-based keyword spotting
Stauffer, Michael.

Graph-based keyword spotting[electronic resource] /Michael Stauffer, Andreas Fischer, Kaspar Riesen. - Singapore :World Scientific,c2020. - 1 online resource (xxxi, 264 p.) - Series in machine perception and artificial intelligence,v. 861793-0839 ;. - Series in machine perception and artificial intelligence ;v. 74..

Includes bibliographical references and index.

Introduction -- Related work - Datasets -- Graph representations -- Graph matching -- Graph-based keyword spotting - Experiments -- Conclusion & future work -- Visualisation of graph representations -- Optimisation of the parameters -- Ensemble methods.

Keyword Spotting (KWS) has been proposed as a flexible and more error-tolerant alternative to full transcriptions. In most cases, it allows to retrieve arbitrary query words in handwritten historical document. This comprehensive compendium gives a self-contained preamble and visually attractive description to the field of graph-based KWS. The volume highlights a profound insight into each step of the whole KWS pipeline, viz. image preprocessing, graph representation and graph matching. Written by two world-renowned co-authors, this unique title combines two very current research fields of graph-based pattern recognition and document analysis. The book serves as an attractive teaching material for graduate students, as well as a useful reference text for professionals, academics and researchers.

Mode of access: World Wide Web.

ISBN: 9789811206634$q(electronic bk.)Subjects--Topical Terms:

183725
Pattern recognition systems.

LC Class. No.: TK7882.P3 / S73 2020

Dewey Class. No.: 006.4

Graph-based keyword spotting
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245 1 0 $a Graph-based keyword spotting $h [electronic resource] / $c Michael Stauffer, Andreas Fischer, Kaspar Riesen.
260 $a Singapore : $b World Scientific, $c c2020.
300 $a 1 online resource (xxxi, 264 p.)
490 1 $a Series in machine perception and artificial intelligence, $x 1793-0839 ; $v v. 86
504 $a Includes bibliographical references and index.
505 0 $a Introduction -- Related work - Datasets -- Graph representations -- Graph matching -- Graph-based keyword spotting - Experiments -- Conclusion & future work -- Visualisation of graph representations -- Optimisation of the parameters -- Ensemble methods.
520 $a Keyword Spotting (KWS) has been proposed as a flexible and more error-tolerant alternative to full transcriptions. In most cases, it allows to retrieve arbitrary query words in handwritten historical document. This comprehensive compendium gives a self-contained preamble and visually attractive description to the field of graph-based KWS. The volume highlights a profound insight into each step of the whole KWS pipeline, viz. image preprocessing, graph representation and graph matching. Written by two world-renowned co-authors, this unique title combines two very current research fields of graph-based pattern recognition and document analysis. The book serves as an attractive teaching material for graduate students, as well as a useful reference text for professionals, academics and researchers.
538 $a Mode of access: World Wide Web.
588 $a Description based on print version record.
650 0 $a Pattern recognition systems. $3 183725
650 0 $a Document imaging systems. $3 184308
650 0 $a Image analysis. $3 190419
700 1 $a Fischer, Andreas. $3 835360
700 1 $a Riesen, Kaspar. $3 575645
830 0 $a Series in machine perception and artificial intelligence ; $v v. 74. $3 575154
856 4 0 $u https://www.worldscientific.com/worldscibooks/10.1142/11452#t=toc