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024 7 _a10.1007/978-3-031-23028-8
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050 4 _aTA347.A78
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245 1 0 _aStructural, Syntactic, and Statistical Pattern Recognition
_h[electronic resource] :
_bJoint IAPR International Workshops, S+SSPR 2022, Montreal, QC, Canada, August 26–27, 2022, Proceedings /
_cedited by Adam Krzyzak, Ching Y. Suen, Andrea Torsello, Nicola Nobile.
250 _a1st ed. 2022.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2022.
300 _aXIII, 324 p. 118 illus., 93 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
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490 1 _aLecture Notes in Computer Science,
_x1611-3349 ;
_v13813
520 _aThis book constitutes the proceedings of the Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition, S+SSPR 2022, held in Montreal, QC, Canada, in August 2022. The 30 papers together with 2 invited talks presented in this volume were carefully reviewed and selected from 50 submissions. The workshops presents papers on topics such as deep learning, processing, computer vision, machine learning and pattern recognition and much more.
650 0 _aArtificial intelligence.
650 0 _aComputer science
_xMathematics.
650 0 _aDiscrete mathematics.
650 0 _aAlgorithms.
650 0 _aComputer graphics.
650 0 _aComputer vision.
650 0 _aPattern recognition systems.
650 1 4 _aArtificial Intelligence.
650 2 4 _aDiscrete Mathematics in Computer Science.
650 2 4 _aDesign and Analysis of Algorithms.
650 2 4 _aComputer Graphics.
650 2 4 _aComputer Vision.
650 2 4 _aAutomated Pattern Recognition.
700 1 _aKrzyzak, Adam.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aSuen, Ching Y.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aTorsello, Andrea.
_eeditor.
_4edt
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700 1 _aNobile, Nicola.
_eeditor.
_4edt
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710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031230271
776 0 8 _iPrinted edition:
_z9783031230295
830 0 _aLecture Notes in Computer Science,
_x1611-3349 ;
_v13813
856 4 0 _uhttps://doi.org/10.1007/978-3-031-23028-8
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