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Pattern Recognition Applications and Methods : 8th International Conference, ICPRAM 2019, Prague, Czech Republic, February 19-21, 2019, 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
View online- Format:
- Book
- Series:
- Computer Science (Springer-11645)
- LNCS sublibrary. Image processing, computer vision, pattern recognition, and graphics ; SL 6, 11996.
- Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 11996
- Language:
- English
- Subjects (All):
- Pattern perception.
- Optical data processing.
- Machine learning.
- Computer networks.
- Mathematical statistics.
- Computers.
- Pattern Recognition.
- Image Processing and Computer Vision.
- Machine Learning.
- Computer Communication Networks.
- Probability and Statistics in Computer Science.
- Information Systems and Communication Service.
- Local Subjects:
- Pattern Recognition.
- Image Processing and Computer Vision.
- Machine Learning.
- Computer Communication Networks.
- Probability and Statistics in Computer Science.
- Information Systems and Communication Service.
- Physical Description:
- 1 online resource (XV, 159 pages) : 132 illustrations, 53 illustrations in color.
- Edition:
- First edition 2020.
- Contained In:
- Springer eBooks
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2020.
- System Details:
- text file PDF
- Summary:
- 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.
- 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.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-030-40014-9
- 9783030400149
- Access Restriction:
- Restricted for use by site license.
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