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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
Frinken, Volkmar; Bunke, Horst (2010). Self-training for handwritten text line recognition. In: Bloch, Isabelle; Cesar, Roberto M. (eds.) Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. 15th Iberoamerican Congress on Pattern Recognition, CIARP 2010 São Paulo, Brazil, November 8-11, 2010. Proceedings. Lecture Notes in Computer Science: Vol. 6419 (pp. 104-112). Heidelberg: Springer Verlag 10.1007/978-3-642-16687-7_18
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 Adapting BLSTM neural network based keyword spotting trained on modern data to historical documents.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
Frinken, Volkmar; Bunke, Horst (2009). Evaluating retraining rules for semi-supervised learning in neural network based cursive word recognition. In: 10th International Conference on Document Analysis and Recognition ICDAR 2009 (pp. 31-35). Washington, DC: IEEE Computer Society 10.1109/ICDAR.2009.18
