Improved Handwriting Recognition by Combining Two Forms of Hidden Markov Models and a Recurrent Neural Network

Frinken, Volkmar; Peter, Tim; Fischer, Andreas; Bunke, Horst; Do, Trinh-Minh-Tri; Artieres, Thierry (2009). Improved Handwriting Recognition by Combining Two Forms of Hidden Markov Models and a Recurrent Neural Network. In: Jiang, Xiaoyi; Petkov, Nicolai (eds.) Computer Analysis of Images and Patterns 13th International Conference, CAIP 2009, Münster, Germany, September 2-4, 2009. Proceedings. Lecture Notes in Computer Science: Vol. 5702 (pp. 189-196). Heidelberg: Springer Verlag 10.1007/978-3-642-03767-2_23

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Item Type: Book Section (Book Chapter)
Division/Institute: 08 Faculty of Science > Institute of Computer Science (INF)
UniBE Contributor: Fischer, Andreas and Bunke, Horst
Series: Lecture Notes in Computer Science
Publisher: Springer Verlag
Language: English
Submitter: Factscience Import
Date Deposited: 04 Oct 2013 15:22
Last Modified: 04 May 2014 23:27
Publisher DOI: 10.1007/978-3-642-03767-2_23
URI: http://boris.unibe.ch/id/eprint/37084 (FactScience: 206716)

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