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Pattern Recognition Applications and Methods [electronic resource] :7th International Conference, ICPRAM 2018, Funchal, Madeira, Portugal, January 16-18, 2018, Revised Selected Papers /

Contributor(s): De Marsico, Maria [editor.] | di Baja, Gabriella Sanniti [editor.] | Fred, Ana [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Image Processing, Computer Vision, Pattern Recognition, and Graphics: 11351Publisher: Cham : Springer International Publishing : Imprint: Springer, 2019Edition: 1st ed. 2019.Description: XVI, 203 p. 151 illus., 92 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783030054991.Subject(s): Computer Science | Optical pattern recognition | Computer vision | Machine learning | Pattern Recognition | Image Processing and Computer Vision | Machine LearningOnline resources: Click here to access online
Contents:
Theory and Methods -- Applications -- Pattern Recognition -- Bayesian Models -- Gaussian Processes -- Neural Networks -- Web Applications Image-Based Modelling.
In: Springer eBooksSummary: This book contains revised and extended versions of selected papers from the 7th International Conference on Pattern Recognition, ICPRAM 2018, held in Porto, Portugal, in January 2018. The 10 full papers presented were carefully reviewed and selected from 102 initial submissions. The core of ICPRAM is intended to include theoretical studies yielding new insights in Pattern Recognition methods, as well as experimental validation and concrete application of Pattern Recognition techniques to real-world problems.
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Theory and Methods -- Applications -- Pattern Recognition -- Bayesian Models -- Gaussian Processes -- Neural Networks -- Web Applications Image-Based Modelling.

This book contains revised and extended versions of selected papers from the 7th International Conference on Pattern Recognition, ICPRAM 2018, held in Porto, Portugal, in January 2018. The 10 full papers presented were carefully reviewed and selected from 102 initial submissions. The core of ICPRAM is intended to include theoretical studies yielding new insights in Pattern Recognition methods, as well as experimental validation and concrete application of Pattern Recognition techniques to real-world problems.

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