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Pattern Recognition Applications and Methods [electronic resource] : 8th International Conference, ICPRAM 2019, Prague, Czech Republic, February 19-21, 2019, Revised Selected Papers / edited by Maria De Marsico, Gabriella Sanniti di Baja, Ana Fred.

Contributor(s): De Marsico, Maria [editor.] | Sanniti di Baja, Gabriella [editor.] | Fred, Ana [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Image Processing, Computer Vision, Pattern Recognition, and Graphics: 11996Publisher: Cham : Springer International Publishing : Imprint: Springer, 2020Edition: 1st ed. 2020.Description: XV, 159 p. 132 illus., 53 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783030400149.Subject(s): Pattern recognition systems | Computer vision | Machine learning | Computer networks  | Computer science -- Mathematics | Mathematical statistics | Automated Pattern Recognition | Computer Vision | Machine Learning | Computer Communication Networks | Probability and Statistics in Computer ScienceAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.4 Online resources: Click here to access online
Contents:
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.
In: Springer Nature eBookSummary: 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.
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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.

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.

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