Pattern Recognition Applications and Methods - 7th International Conference, ICPRAM 2018, Funchal, Madeira, Portugal, January 16-18, 2018, Revised Selected Papers

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.

List of contents

Theory and Methods.- Applications.- Pattern Recognition.-  Bayesian Models.- Gaussian Processes.- Neural Networks.- Web Applications Image-Based Modelling.

Summary

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.

Product details

• Assisted by: Maria De Marsico (Editor), Gabriella Sanniti Di Baja (Editor), Ana Fred (Editor), Gabriell Sanniti di Baja (Editor), Gabriella Sanniti Di Baja (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 01.01.2019
• EAN: 9783030054984
• ISBN: 978-3-0-3005498-4
• No. of pages: 203
• Dimensions: 155 mm x 13 mm x 235 mm
• Weight: 342 g
• Illustrations: XVI, 203 p. 151 illus., 92 illus. in color.
• Series: Lecture Notes in Computer Science; Image Processing, Computer Vision, Pattern Recognition, and Graphics; Lecture Notes in Computer Science; Image Processing, Computer Vision, Pattern Recognition, and Graphics
• Subject: Natural sciences, medicine, IT, technology > IT, data processing > Application software