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

Machine Learning and Data Mining in Pattern Recognition

12th International Conference, MLDM 2016, New York, NY, USA, July 16-21, 2016, 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 ImportBot
October 5, 2021 | 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

12th International Conference, MLDM 2016, New York, NY, USA, July 16-21, 2016, Proceedings

by

  • 3 Want to read

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Publish Date
Publisher
Springer
Pages
820

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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
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Jun 28, 2016, Springer
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Machine Learning and Data Mining in Pattern Recognition: 8th International Conference, MLDM 2012, Berlin, Germany, July 13-20, 2012. Proceedings
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electronic resource : in English
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
Sep 18, 2011, Springer
paperback

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Book Details

Edition Notes

Source title: Machine Learning and Data Mining in Pattern Recognition: 12th International Conference, MLDM 2016, New York, NY, USA, July 16-21, 2016, Proceedings (Lecture Notes in Computer Science (9729))

Classifications

Library of Congress
QA75.5-76.95

The Physical Object

Format
paperback
Number of pages
820

Edition Identifiers

Open Library
OL28143269M
ISBN 10
3319419196
ISBN 13
9783319419190

Work Identifiers

Work ID
OL19884962W

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October 5, 2021 Edited by ImportBot import existing book
May 26, 2020 Created by ImportBot Imported from amazon.com record