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04112nam a2200517 4500 |
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978-3-319-59162-9 |
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20191021213047.0 |
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170506s2018 gw | s |||| 0|eng d |
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|a 9783319591629
|9 978-3-319-59162-9
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|a 10.1007/978-3-319-59162-9
|2 doi
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|a 006.3
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|a Proceedings of the 10th International Conference on Computer Recognition Systems CORES 2017
|h [electronic resource] /
|c edited by Marek Kurzynski, Michal Wozniak, Robert Burduk.
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|a 1st ed. 2018.
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2018.
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|a XV, 508 p. 167 illus.
|b online resource.
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|a text
|b txt
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|a computer
|b c
|2 rdamedia
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|a online resource
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|a text file
|b PDF
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|a Advances in Intelligent Systems and Computing,
|x 2194-5357 ;
|v 578
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|a Recognition of Fuzzy or Incompletely Described Objects -- Evaluating and Comparing Classifiers: Review, Somem Recommendations and Limitations -- Multi-aspect Assessment and Classification of Porous Materials Designed for Tissue Engineering -- Enhancing English-Japanese Translation Using Syntactic Pattern Recognition Methods -- Novel Results on Random Walk-Jump Chains that Possess Tree-based Transitions -- Travel Time Prediction for Trams in Warsaw -- Diagnostic Rule Extraction Using the Dempster-Shafer Theory Extended for Fuzzy Focal Elements -- Gait Recognition Using Motion Trajectory Analysis -- Methodology of the Construction of a GDPLL(k) Grammar-based Syntactic Pattern Recognition System -- Determining of an Estimate of the Equivalence Relation on the Basis of Pairwise Comparisons -- Classification of Body Regions based on MRI Log Files -- Semi-automatic Segmentation of Scattered and Distributed Objects -- Playback Attack Detection: The Search for the Ultimate Set of Antispoof Features -- A Vision-Based Method for Automatic Crack Detection in Railway Sleepers -- Towards Privacy-aware Keyboards.
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|a This book offers a comprehensive study of computer recognition systems - one of the most promising directions in artificial intelligence. It presents a collection of 52 carefully selected articles contributed by experts in the field of pattern recognition, discussing both methodological aspects and applications of current research. It includes the following sections: · Features, learning, and classifiers · Biometrics · Data stream classification and big data analytics · Image processing and computer vision · Medical applications · Applications It is a valuable reference tool for scientists dealing with the problems of designing computer pattern recognition systems, including researchers and students of computer science, artificial intelligence and robotics.
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650 |
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|a Computational intelligence.
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650 |
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|a Artificial intelligence.
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|a Pattern recognition.
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650 |
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|a Computational Intelligence.
|0 http://scigraph.springernature.com/things/product-market-codes/T11014
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|a Artificial Intelligence.
|0 http://scigraph.springernature.com/things/product-market-codes/I21000
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650 |
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|a Pattern Recognition.
|0 http://scigraph.springernature.com/things/product-market-codes/I2203X
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700 |
1 |
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|a Kurzynski, Marek.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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700 |
1 |
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|a Wozniak, Michal.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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700 |
1 |
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|a Burduk, Robert.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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710 |
2 |
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|a SpringerLink (Online service)
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773 |
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|t Springer eBooks
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776 |
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|i Printed edition:
|z 9783319591612
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776 |
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|i Printed edition:
|z 9783319591636
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830 |
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|a Advances in Intelligent Systems and Computing,
|x 2194-5357 ;
|v 578
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856 |
4 |
0 |
|u https://doi.org/10.1007/978-3-319-59162-9
|z Full Text via HEAL-Link
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912 |
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|a ZDB-2-ENG
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950 |
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|a Engineering (Springer-11647)
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