Artificial Neural Networks and Machine Learning – ICANN 2011 [electronic resource] : 21st International Conference on Artificial Neural Networks, Espoo, Finland, June 14-17, 2011, Proceedings, Part I / edited by Timo Honkela, Włodzisław Duch, Mark Girolami, Samuel Kaski.
By: Honkela, Timo [editor.].
Contributor(s): Duch, Włodzisław [editor.] | Girolami, Mark [editor.] | Kaski, Samuel [editor.] | SpringerLink (Online service).
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BookSeries: Lecture Notes in Computer Science: 6791Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2011Description: XXI, 390 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783642217357.Subject(s): Computer science | Computer software | Information systems | Artificial intelligence | Computer vision | Optical pattern recognition | Computer Science | Artificial Intelligence (incl. Robotics) | Computation by Abstract Devices | Algorithm Analysis and Problem Complexity | Pattern Recognition | Information Systems Applications (incl.Internet) | Image Processing and Computer VisionDDC classification: 006.3 Online resources: Click here to access online
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Springer eBooksSummary: This two volume set (LNCS 6791 and LNCS 6792) constitutes the refereed proceedings of the 21th International Conference on Artificial Neural Networks, ICANN 2011, held in Espoo, Finland, in June 2011. The 106 revised full or poster papers presented were carefully reviewed and selected from numerous submissions. ICANN 2011 had two basic tracks: brain-inspired computing and machine learning research, with strong cross-disciplinary interactions and applications.
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This two volume set (LNCS 6791 and LNCS 6792) constitutes the refereed proceedings of the 21th International Conference on Artificial Neural Networks, ICANN 2011, held in Espoo, Finland, in June 2011. The 106 revised full or poster papers presented were carefully reviewed and selected from numerous submissions. ICANN 2011 had two basic tracks: brain-inspired computing and machine learning research, with strong cross-disciplinary interactions and applications.
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