Pattern Recognition Applications and Methods [electronic resource] : 8th International Conference, ICPRAM 2019, Prague, Czech Republic, February 19-21, 2019, Revised Selected Papers /

Contributor(s):

Material type: Text

TextSeries: Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 11996Publisher: Cham : Springer International Publishing : Imprint: Springer, 2020Edition: 1st ed. 2020Description: XV, 159 p. 132 illus., 53 illus. in color. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9783030400149

Subject(s):

Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:

006.4 23

LOC classification:

Q337.5
TK7882.P3

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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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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