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Machine Learning and Data Mining in Pattern Recognition

4th International Conference, MLDM 2005, Leipzig, Germany, July 9-11, 2005, Proceedings

Springer Berlin,
Buch
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Kurzbeschreibung

We met again in front of the statue of Gottfried Wilhelm von Leibniz in the city of Leipzig. Leibniz, a famous son of Leipzig, planned automatic logical inference using symbolic computation, aimed to collate all human knowledge. Today, artificial intelligence deals with large amounts of data and knowledge and finds new information using machine learning and data mining. Machine learning and data mining are irreplaceable subjects and tools for the theory of pattern recognition and in applications of pattern recognition such as bioinformatics and data retrieval. This was the fourth edition of MLDM in Pattern Recognition which is the main event of Technical Committee 17 of the International Association for Pattern Recognition; it started out as a workshop and continued as a conference in 2003. Today, there are many international meetings which are titled “machine learning” and “data mining”, whose topics are text mining, knowledge discovery, and applications. This meeting from the first focused on aspects of machine learning and data mining in pattern recognition problems. We planned to reorganize classical and well-established pattern recognition paradigms from the viewpoints of machine learning and data mining. Though it was a challenging program in the late 1990s, the idea has inspired new starting points in pattern recognition and effects in other areas such as cognitive computer vision.

Details
Schlagworte

Titel: Machine Learning and Data Mining in Pattern Recognition
Autoren/Herausgeber: Petra Perner, Atsushi Imiya (Hrsg.)
Aus der Reihe: Lecture Notes in Computer Science
Ausgabe: 2005

ISBN/EAN: 9783540269236

Seitenzahl: 698
Format: 23,5 x 15,5 cm
Produktform: Taschenbuch/Softcover
Gewicht: 2,190 g
Sprache: Englisch

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