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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.

SpringerLink Books Lecture Notes In Computer Science (LNCS) (1997-2024) Available online

SpringerLink Books Lecture Notes In Computer Science (LNCS) (1997-2024)
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.

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