All Publications

• Bertolami, R. and Bunke, H. (2008).
  Ensemble methods to improve the performance of an English handwritten text line recognizer
  In: Arabic and Chinese Handwriting Recognition, ed. by Doerman, D. and Jaeger, S., pp. 265-277, Springer. LNCS 4768.
• Bunke, H. and Riesen, K. (2008).
  Recent developments in graph classification and clustering using graph embedding kernels
  In: Proc. 8th Int. Workshop Pattern Recognition in Information Systems, ed. by A. Juan-Ciscar and G. Sanchez-Albaladejo, pp. 3-13.
• Bunke, H., Dickinson, P., Neuhaus, M., and Stettler, M. (2008).
  Matching of hypergraphs - algorithms, applications, and experiments
  In: Applied Pattern Recognition, ed. by Bunke, H. and Kandel, A. and Last, M., pp. 131-154, Springer.
• Bunke, H., Kandel, A., and Last, M. (2008).
  Applied Pattern Recognition
  Springer.
• Riesen, K. and Bunke, H. (2008).
  Kernel k-means clustering applied to vector space embeddings of graphs
  In: Art. Neural Networks in Pattern Recognition, Proc. 3rd IAPR Workshop , ed. by L. Prevost, S. Marinai, and F. Schwenker, pp. 24-35, Springer. LNCS 5064.
• Riesen, K. and Bunke, H. (2008).
  Non-linear transformations of vector space embedded graphs
  In: Proc. 8th Int. Workshop Pattern Recognition in Information Systems, ed. by Juan-Ciscar, A. and Sanchez-Albaladejo, G., pp. 173-183.
• Schlapbach, A. and Bunke, H. (2008).
  Off-line writer identification and verification using Gaussian mixture models
  In: Machine Learning in Document Analysis and Recognition, pp. 409-428, Springer.
• Schlapbach, A., Liwicki, M., and Bunke, H. (2008).
  A writer identification system for on-line whiteboard data
  Pattern Recognition, 41:2381-2397.
• Varga, T. and Bunke, H. (2008).
  Perturbation models for generating synthetic training data in handwriting recognition
  In: Machine Learning in Document Analysis and Recognition, ed. by Marinai, S. and Fujisawa, H., pp. 333-360, Springer.
• Bertolami, R. and Bunke, H. (2007).
  Multiple classifier methods for offline handwritten text line recognition
  In: Multiple Classifier Systems, ed. by Haindl, M. and Kittler, J. and Roli, F., vol. 4472, pp. 72–81, Springer. Lecture Notes in Computer Science.