Pattern Recognition Applications and Methods : 7th International Conference, ICPRAM 2018, Funchal, Madeira, Portugal, January 16-18, 2018, Revised Selected Papers / edited by Maria De Marsico, Gabriella Sanniti di Baja, Ana Fred.

Format:

• Book

Contributor:

• De Marsico, Maria, editor.
• Sanniti di Baja, Gabriella, editor.
• Fred, Ana, editor.
• SpringerLink (Online service)

Series:

• Computer Science (Springer-11645)
• LNCS sublibrary. Image processing, computer vision, pattern recognition, and graphics ; SL 6, 11351.
• Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 11351

Language:

English

Subjects (All):

• Pattern perception.
• Optical data processing.
• Machine learning.
• Pattern Recognition.
• Image Processing and Computer Vision.
• Machine Learning.

Local Subjects:

• Pattern Recognition.
• Image Processing and Computer Vision.
• Machine Learning.

Physical Description:

1 online resource (XVI, 203 pages) : 151 illustrations, 92 illustrations in color.

Edition:

First edition 2019.

Contained In:

Springer eBooks

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2019.

System Details:

text file PDF

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.

Contents:

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

Other Format:

Printed edition:

ISBN:

• 978-3-030-05499-1
• 9783030054991

Access Restriction:

Restricted for use by site license.