An edition of Machine Learning and Data Mining in Pattern Recognition (2011)

Machine Learning and Data Mining in Pattern Recognition

10th International Conference, MLDM 2014, St. Petersburg, Russia, July 21-24, 2014, Proceedings

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Cover of: Machine Learning and Data Mining in Pattern Recognition by Petra Perner, Petra Perner
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Last edited by MARC Bot
December 8, 2022 | History
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An edition of Machine Learning and Data Mining in Pattern Recognition (2011)

Machine Learning and Data Mining in Pattern Recognition

10th International Conference, MLDM 2014, St. Petersburg, Russia, July 21-24, 2014, Proceedings

by

  • 3 Want to read

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Publish Date
Publisher
Springer
Pages
550

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Subjects

Mathematical Logic and Formal Languages, Pattern perception, Image Processing and Computer Vision, Data Mining and Knowledge Discovery, Database management, Optical pattern recognition, Computer vision, Computer science, Data mining, Artificial intelligence, Artificial Intelligence (incl. Robotics), Machine learning, Image processing, Information Systems Applications (incl. Internet), Computer software, Algorithm Analysis and Problem Complexity
Edition Availability
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Cover of: Machine Learning and Data Mining in Pattern Recognition
Machine Learning and Data Mining in Pattern Recognition: 10th International Conference, MLDM 2014, St. Petersburg, Russia, July 21-24, 2014, Proceedings
Aug 04, 2014, Springer
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Cover of: Machine Learning and Data Mining in Pattern Recognition
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Cover of: Machine Learning and Data Mining in Pattern Recognition
Machine Learning and Data Mining in Pattern Recognition: 7th International Conference, MLDM 2011, New York, NY, USA, August 30-September 3, 2011Proceedings
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Book Details

Edition Notes

Source title: Machine Learning and Data Mining in Pattern Recognition: 10th International Conference, MLDM 2014, St. Petersburg, Russia, July 21-24, 2014, Proceedings (Lecture Notes in Computer Science (8556))

Classifications

Library of Congress
QA75.5-76.95, Q334-342, TJ210.2-211.495

The Physical Object

Format
paperback
Number of pages
550

Edition Identifiers

Open Library
OL27952705M
ISBN 10
3319089781
ISBN 13
9783319089782

Work Identifiers

Work ID
OL19884962W

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December 8, 2022 Edited by MARC Bot import existing book
October 5, 2021 Edited by ImportBot import existing book
April 24, 2020 Created by ImportBot Imported from amazon.com record