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a.SCatch: Semantic Structure for Architectural Floor Plan Retrieval.

M. Weber, C. Langenhan, T. Roth-Berghofer, M. Liwicki, A. Dengel, and F. Petzold. ICCBR, volume 6176 of Lecture Notes in Computer Science, page 510-524. Springer, (2010)

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Marcus Jenke

Dr. phil. Marcus Stiebing University of Stuttgart

Dr. -Ing. Marcus Steierwald University of Stuttgart

Marcus Auch University of Stuttgart

Marcus Hermes University of Stuttgart

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Combination of multiple aligned recognition outputs using WFST and LSTM.M. Azawi, M. Liwicki, and T. Breuel. ICDAR, page 31-35. IEEE Computer Society, (2015)relocated from Tunis, Tunisia.WFST-based ground truth alignment for difficult historical documents with text modification and layout variations.M. Azawi, M. Liwicki, and T. Breuel. DRR, volume 8658 of SPIE Proceedings, page 865818. SPIE, (2013)Statistical segmentation and structural recognition for floor plan interpretation - Notation invariant structural element recognition.L. de las Heras, S. Ahmed, M. Liwicki, E. Valveny, and G. Sánchez. IJDAR, 17 (3): 221-237 (2014)Part-based methods for handwritten digit recognition.S. Wang, S. Uchida, M. Liwicki, and Y. Feng. Frontiers of Computer Science, 7 (4): 514-525 (2013)Combining Alignment Results for Historical Handwritten Document Analysis.E. Indermühle, M. Liwicki, and H. Bunke. ICDAR, page 1186-1190. IEEE Computer Society, (2009)Enhancing Training Data for Handwriting Recognition of Whiteboard Notes with Samples from a Different Database.M. Liwicki, and H. Bunke. ICDAR, page 550-554. IEEE Computer Society, (2005)Text Line Extraction Using DMLP Classifiers for Historical Manuscripts.M. Baechler, M. Liwicki, and R. Ingold. ICDAR, page 1029-1033. IEEE Computer Society, (2013)Recognition of Whiteboard Notes - Online, Offline and CombinationM. Liwicki, and H. Bunke. Series in Machine Perception and Artificial Intelligence WorldScientific, (2008)Page Segmentation for Historical Handwritten Document Images Using Conditional Random Fields.K. Chen, M. Seuret, M. Liwicki, J. Hennebert, C. Liu, and R. Ingold. ICFHR, page 90-95. IEEE Computer Society, (2016)Toward Part-Based Document Image Decoding.W. Song, S. Uchida, and M. Liwicki. Document Analysis Systems, page 266-270. IEEE Computer Society, (2012)