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020 _a9783030200817
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024 7 _a10.1007/978-3-030-20081-7
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245 1 0 _aGraph-Based Representations in Pattern Recognition
_h[electronic resource] :
_b12th IAPR-TC-15 International Workshop, GbRPR 2019, Tours, France, June 19-21, 2019, Proceedings /
_cedited by Donatello Conte, Jean-Yves Ramel, Pasquale Foggia.
250 _a1st ed. 2019.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2019.
300 _aX, 247 p. 92 illus., 74 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
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347 _atext file
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490 1 _aImage Processing, Computer Vision, Pattern Recognition, and Graphics,
_x3004-9954 ;
_v11510
520 _aThis book constitutes the refereed proceedings of the 12th IAPR-TC-15 International Workshop on Graph-Based Representation in Pattern Recognition, GbRPR 2019, held in Tours, France, in June 2019. The 22 full papers included in this volume together with an invited talk were carefully reviewed and selected from 28 submissions. The papers discuss research results and applications at the intersection of pattern recognition, image analysis, and graph theory. They cover topics such as graph edit distance, graph matching, machine learning for graph problems, network and graph embedding, spectral graph problems, and parallel algorithms for graph problems. .
650 0 _aPattern recognition systems.
_93953
650 0 _aComputer science
_xMathematics.
_93866
650 0 _aDiscrete mathematics.
_912873
650 0 _aComputer graphics.
_94088
650 0 _aAlgorithms.
_93390
650 0 _aArtificial intelligence
_xData processing.
_921787
650 0 _aArtificial intelligence.
_93407
650 1 4 _aAutomated Pattern Recognition.
_931568
650 2 4 _aDiscrete Mathematics in Computer Science.
_931837
650 2 4 _aComputer Graphics.
_94088
650 2 4 _aAlgorithms.
_93390
650 2 4 _aData Science.
_934092
650 2 4 _aArtificial Intelligence.
_93407
700 1 _aConte, Donatello.
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700 1 _aRamel, Jean-Yves.
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700 1 _aFoggia, Pasquale.
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776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
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830 0 _aImage Processing, Computer Vision, Pattern Recognition, and Graphics,
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856 4 0 _uhttps://doi.org/10.1007/978-3-030-20081-7
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