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Stolz, Michael; Fischer, Andreas; Indermühle, Emanuel; Bunke, Horst; Viehhauser, Gabriel (2010). Ground Truth Creation for Handwriting Recognition in Historical Documents. In: Doermann, David S.; Govindaraju, Venu; Lopresti, Daniel P.; Natarajan, Premkumar (eds.) The Ninth IAPR International Workshop on Document Analysis Systems (DAS 2010). ACM International Conference Proceeding Series (pp. 3-10). New York: Association for Computing Machinery ACM 10.1145/1815330.1815331
Frinken, Volkmar; Fischer, Andreas; Bunke, Horst (2010). Combining neural networks to improve performance of handwritten keyword spotting systems. In: El Gayar, Neamat; Kittler, Josef; Roli, Fabio (eds.) Multiple Classifier Systems. 9th International Workshop, MCS 2010 Cairo, Egypt, April 7-9, 2010. Proceedings. Lecture Notes in Computer Science: Vol. 5997 (pp. 215-224). Heidelberg: Springer Verlag 10.1007/978-3-642-12127-2_22
Frinken, Volkmar; Fischer, Andreas; Bunke, Horst (2010). A novel word spotting algorithm using bidirectional long short-term memory neural networks. In: El Gayar, Neamat; Kittler, Josef; Roli, Fabio (eds.) Artificial Neural Networks in Pattern Recognition. 4th IAPR TC3 Workshop, ANNPR 2010 Cairo, Egypt, April 11-13, 2010. Proceedings. Lecture Notes in Computer Science: Vol. 5998 (pp. 185-196). Heidelberg: Springer Verlag 10.1007/978-3-642-12159-3_17
Fischer, Andreas; Keller, Anita; Frinken, Volkmar; Bunke, Hors (2010). HMM-based word spotting in handwritten documents using subword models. In: 20th International Conference on Pattern Recognition. Proceedings (pp. 3416-3419). Washington, DC: IEEE Computer Society 10.1109/icpr.2010.834
Fischer, Andreas; Riesen, Kaspar; Bunke, Horst (2010). Graph similarity features for HMM-based handwriting recognition in historical documents. In: 12th International Conference on Frontiers in Handwriting Recognition ICFHR 2010. 10.1109/icfhr.2010.47
Frinken, Volkmar; Fischer, Andreas; Bunke, Horst; Manmatha, R. (2010). Adapting BLSTM neural network based keyword spotting trained on modern data to historical documents. In: 12th International Conference on Frontiers in Handwriting Recognition ICFHR 2010. 10.1109/icfhr.2010.61
Wüthrich, Markus; Liwicki, Marcus; Fischer, Andreas; Indermühle, Emanuel; Bunke, Horst; Viehhauser, Gabriel; Stolz, Michael (2009). Language Model Integration for the Recognition of Handwritten Medieval Documents. In: Proceedings of the 10th International Conference on Document Analysis and Recognition ICDAR (pp. 211-215). Washington, DC: IEEE Computer Society 10.1109/ICDAR.2009.17
Fischer, Andreas; Wüthrich, Markus; Liwicki, Marcus; Frinken, Volkmar; Bunke, Horst; Viehhauser, Gabriel; Stolz, Michael (2009). Automatic transcription of handwritten medieval documents. In: Proceedings of the 15th International Conference on Virtual Systems and Multimedia (VSMM-2009), September 9-12, Vienna, Austria (pp. 137-142). Washington, DC: IEEE Computer Society 10.1109/VSMM.2009.26
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
Fischer, Andreas; Bunke, Horst (2009). Kernel PCA for HMM-Based Cursive Handwriting Recognition. 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. 181-188). Heidelberg: Springer Verlag 10.1007/978-3-642-03767-2_22
Fischer, A.; Riesen, K.; Bunke, H. (2008). An experimental study of graph classification using prototype selection. In: Proceedings of the 19th International Conference on Pattern Recognition, 8-11 December 2008, Tampa, FL (pp. 1-4). New York: Institute of Electrical and Electronics Engineers IEEE 10.1109/ICPR.2008.4761811
