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C. Bahlmann, B. Haasdonk, and H. Burkhardt. Measuring HMM similarity with the bayes probability of error and its application to online handwriting recognition. In Proceedings of the 6th ICDAR, pages 406--411, 2001.

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A Generic Hybrid Classifier Based on Hierarchical Fuzzy.. - Ragot, Anquetil   (Correct)

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C. Bahlmann, B. Haasdonk, and H. Burkhardt. Measuring HMM similarity with the bayes probability of error and its application to online handwriting recognition. In Proceedings of the 6th ICDAR, pages 406--411, 2001.


Methods, Report and Survey for the Comparison of Diverse.. - Ratzlaff (2003)   (Correct)

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C. Bahlmann, H. Burkhardt, Measuring HMM similarity with the Bayes probability of error and its application to online handwriting recognition, Proc. of the 6 ICDAR, (2001).


Similarity-Based Clustering of Sequences Using Hidden.. - Bicego, Murino..   (Correct)

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Bahlmann, C., Burkhardt, H.: Measuring hmm similarity with the bayes probability of error and its application to online handwriting recognition. In: Proc. Int. Conf. Document Analysis and Recognition. (2001) 406--411


On the Dependence of Handwritten Word Recognizers on Lexicons - Xue, Govindaraju   (Correct)

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C. Bahlmann and H. Burkhardt. Measuring hmm similarity with the bayes probability of error and its application to online handwriting recognition. In Proceedings of Sixth International Conference on Document Analysis and Recognition, pages 406--411, Seatle, 2001.

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