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200224 ||| eng |
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|a 9783030400149
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1 |
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|a De Marsico, Maria
|e [editor]
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| 245 |
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|a Pattern Recognition Applications and Methods
|h Elektronische Ressource
|b 8th International Conference, ICPRAM 2019, Prague, Czech Republic, February 19-21, 2019, Revised Selected Papers
|c edited by Maria De Marsico, Gabriella Sanniti di Baja, Ana Fred
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| 250 |
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|a 1st ed. 2020
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| 260 |
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|a Cham
|b Springer International Publishing
|c 2020, 2020
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| 300 |
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|a XV, 159 p. 132 illus., 53 illus. in color
|b online resource
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| 505 |
0 |
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|a Theory and Methods -- Applications -- Bayesian Models -- Gaussian Processes -- Neural Networks -- Fuzzy Logic -- Multi-agent Learning -- Natural Language Processing -- Information retrieval -- Web Applications Image-based Modelling
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| 653 |
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|a Computer Communication Networks
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| 653 |
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|a Mathematical statistics
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| 653 |
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|a Machine learning
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| 653 |
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|a Machine Learning
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| 653 |
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|a Computer science / Mathematics
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| 653 |
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|a Computer vision
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| 653 |
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|a Probability and Statistics in Computer Science
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| 653 |
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|a Computer Vision
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| 653 |
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|a Computer networks
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| 653 |
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|a Automated Pattern Recognition
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| 653 |
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|a Pattern recognition systems
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| 700 |
1 |
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|a Sanniti di Baja, Gabriella
|e [editor]
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| 700 |
1 |
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|a Fred, Ana
|e [editor]
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b Springer
|a Springer eBooks 2005-
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| 490 |
0 |
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|a Image Processing, Computer Vision, Pattern Recognition, and Graphics
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| 028 |
5 |
0 |
|a 10.1007/978-3-030-40014-9
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| 856 |
4 |
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|u https://doi.org/10.1007/978-3-030-40014-9?nosfx=y
|x Verlag
|3 Volltext
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| 082 |
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|a 006.4
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| 520 |
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|a This book contains revised and extended versions of selected papers from the 8th International Conference on Pattern Recognition, ICPRAM 2019, held in Prague, Czech Republic, in February 2019. The 25 full papers presented together 52 short papers and 32 poster sessions were carefully reviewed and selected from 138 initial submissions. Contributions describing applications of Pattern Recognition techniques to real-world problems, interdisciplinary research, experimental and/or theoretical studies yielding new insights that advance Pattern Recognition methods are especially encouraged
|