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100 1 _aStauffer, Michael.
_9178350
245 1 0 _aGraph-based keyword spotting
_h[electronic resource] /
_cMichael Stauffer, Andreas Fischer, Kaspar Riesen.
260 _aSingapore :
_bWorld Scientific Publishing,
_c2019.
300 _a1 online resource (xxxi, 264 p.)
490 1 _aSeries in machine perception and artificial intelligence,
_x1793-0839 ;
_vv. 86
538 _aMode of access: World Wide Web.
504 _aIncludes bibliographical references and index.
520 _aKeyword 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 In most cases, it allows to retrieve arbitrary query words in handwritten historical document.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.
505 0 _aIntroduction -- 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.
650 0 _aPattern recognition systems.
_93953
650 0 _aDocument imaging systems.
_919136
650 0 _aImage analysis.
_96891
655 0 _aElectronic books.
_93294
700 1 _aFischer, Andreas.
_9178351
700 1 _aRiesen, Kaspar.
_9178352
830 0 _aSeries in machine perception and artificial intelligence ;
_vv. 86.
_9178353
856 4 0 _uhttps://www.worldscientific.com/worldscibooks/10.1142/11452#t=toc
_zAccess to full text is restricted to subscribers.
942 _cEBK
999 _c97757
_d97757