FKI Bibliography

• Books and Special Issues of Journals
• Journal Publications
• Papers in Refereed Conference Proceedings and Edited Books:
  Published before 2000
• PhD Theses, Master's Theses, Technical Reports, and Unreviewed Papers

Papers in Refereed Conference Proceedings and Edited Books (published since 2000)

• R. Bertolami and H. Bunke. Multiple classifier methods for offline handwritten text line recognition. In M. Haindl, J. Kittler, and F. Roli, editors, Multiple Classifier Systems, volume 4472 of Lecture Notes in Computer Science, pages 72–81. Springer, 2007.
• R. Bertolami, S. Uchida, M. Zimmermann, and H. Bunke. Non-uniform slant correction for handwritten text line recognition. In Proc. 9th Int. Conf. on Document Analysis and Recognition, pages 18–22, 2007.
• H. Bunke and M. Neuhaus. Graph matching – exact and error-tolerant methods and the automatic learning of edit costs. In D.J. Cook and L.B. Holder, editors, Mining Graph Data, pages 17–34. Wiley, 2007.
• H. Bunke and T. Varga. Off-line Roman cursive handwriting recognition. In B. Chaudhuri, editor, Digital Document Processing: Major Directions and Recent Advances, volume 20 of Advances in Pattern Recognition, pages 165–173. Springer, 2007.
• H. Bunke, P. Dickinson, A. Humm, Ch. Irniger, and M. Kraetzl. Graph sequence visualisation and its application to computer network monitoring and abnormal event detection. In A. Kandel, H. Bunke, and M. Last, editors, Applied Graph Theory in Computer Vision and Pattern Recognition, pages 227–245. Springer, 2007.
• M. Liwicki and H. Bunke. Combining on-line and off-line systems for handwriting recognition. In Proc. 9th Int. Conf. on Document Analysis and Recognition, pages 372–376, 2007.
• M. Liwicki and H. Bunke. On-line handwritten text line detection using dynamic programming. In Proc. 9th Int. Conf. on Document Analysis and Recognition, pages 447–451, 2007.
• M. Liwicki, A. Graves, H. Bunke, and J. Schmidhuber. A novel approach to on-line handwriting recognition based on bidirectional long short-term memory networks. In Proc. 9th Int. Conf. on Document Analysis and Recognition, pages 367–371, 2007.
• F. Lüthy, T. Varga, and H. Bunke. Using hidden Markov models as a tool for handwritten text line segmentation. In Proc. 9th Int. Conf. on Document Analysis and Recognition, pages 8–12, 2007.
• M. Neuhaus and H. Bunke. A quadratic programming approach to the graph edit distance problem. In F. Escolano and M. Vento, editors, Graph-Based Representations in Pattern Recognition, volume 4538 of Lecture Notes in Computer Science, pages 92–102. Springer, 2007.
• O. Nierstrasz, M. Kobel, T. Girba, M. Lanza, and H. Bunke. Example-driven reconstruction of software models. In Proc. 11th European Conference on Software Maintenance and Reengineering, pages 275–286, 2007.
• K. Riesen and H. Bunke. Classifier ensembles for vector spaces embedding of graphs. In M. Haindl, J. Kittler, and F. Roli, editors, Multiple Classifier Systems, volume 4472 of Lecture Notes in Computer Science, pages 220–230. Springer, 2007.
• K. Riesen and H. Bunke. Structural classifier ensembles for vector space embedded graphs. In Proc. 20th Int. Joint Conf. on Neural Networks, pages 1500–1505, 2007.
• K. Riesen, S. Fankhauser, and H. Bunke. Speeding up graph edit distance computation with a bipartite heuristic. In P. Frasconi, K. Kersting, and K. Tsuda, editors, Proc. 5th. Int. Workshop on Mining and Learning with Graphs, pages 21–24, 2007.
• K. Riesen, V. Kilchherr, and H. Bunke. Reducing the dimensionality of vector space embeddings of graphs. In P. Perner, editor, Machine Learning and Data Mining in Pattern Recognition, LNAI 4571, pages 563–573. Springer, 2007.
• K. Riesen, M. Neuhaus, and H. Bunke. Bipartite graph matching for computing the edit distance of graphs. In F. Escolano and M. Vento, editors, Graph-Based Representations in Pattern Recognition, volume 4538 of Lecture Notes in Computer Science, pages 1–12. Springer, 2007.
• K. Riesen, M. Neuhaus, and H. Bunke. Graph embedding in vector spaces by means of prototype selection. In F. Escolano and M. Vento, editors, Graph-Based Representations in Pattern Recognition, volume 4538 of Lecture Notes in Computer Science, pages 383–393. Springer, 2007.
• A. Schenker, H. Bunke, M. Last, and A. Kandel. Clustering of web documents using graph matching. In A. Kandel, H. Bunke, and M. Last, editors, Applied Graph Theory in Computer Vision and Pattern Recognition, pages 247–265. Springer, 2007.
• A. Schlapbach and H. Bunke. Fusing asynchronous feature streams for on-line writer identification. In Proc. 9th Int. Conf. on Document Analysis and Recognition, pages 103–107, 2007.
• R. Bertolami and H. Bunke. Diversity analysis for ensembles of word sequence recognisers. In Proc. Joint IAPR Workshops on Structural and Syntactic Pattern Recognition and Statistical Techniques in Pattern Recognition, pages 677–686, Hong Kong, 2006.
• R. Bertolami and H. Bunke. Early feature stream integration versus decision level combination in a multiple classifier system for text line recognition. In Proc. 18th Int. Conference on Pattern Recognition, volume 2, pages 845–848, Hong Kong, 2006.
• R. Bertolami, B. Halter, and H. Bunke. Combination of multiple handwritten text line recognition systems with a recursive approach. In Proc. 10th Int. Workshop Frontiers in Handwriting Recognition, pages 61–65, 2006.
• H. Bunke, P. Dickinson, A. Humm, Ch. Irniger, and M. Kraetzl. Computer network monitoring and abnormal event detection using graph matching and multidimensional scaling. In P. Perner, editor, Advances in Data Mining, Proc. 6th Industrial Conference on Data Mining, ICDM, LNAI 4065, pages 576–590, Leipzig, Germany, 2006. Springer.
• B. Le Saux and H. Bunke. Combining SVM and graph matching in a Bayesian multiple classifier system for image content recognition. In Proc. Joint IAPR Workshops on Structural and Syntactic Pattern Recognition and Statistical Techniques in Pattern Recognition, pages 696–704, Hong Kong, 2006.
• M. Liwicki and H. Bunke. HMM-based on-line recognition of handwritten whiteboard notes. In Proc. 10th Int. Workshop Frontiers in Handwriting Recognition, pages 595–599, 2006.
• M. Liwicki, M. Scherz, and H. Bunke. Word segmentation of on-line handwritten text lines. In Proc. 18th Int. Conference on Pattern Recognition, volume 2, pages 929–933, Hong Kong, 2006.
• M. Liwicki, A. Schlapbach, H. Bunke, S. Bengio, J. Mariéthoz, and J. Richiardi. Writer identification for smart meeting room systems. In H. Bunke and L.A. Spitz, editors, Proc. 7th Int. Workshop on Document Analysis Systems, LNCS 3872, pages 186–195. Springer, 2006.
• M. Neuhaus and H. Bunke. A convolution kernel for error-tolerant graph matching. In Proc. 18th Int. Conference on Pattern Recognition, volume 4, pages 220–223, Hong Kong, 2006.
• M. Neuhaus and H. Bunke. A random walk kernel derived from graph edit distance. In Proc. Joint IAPR Workshops on Structural and Syntactic Pattern Recognition and Statistical Techniques in Pattern Recognition, pages 191–199, Hong Kong, 2006.
• M. Neuhaus, K. Riesen, and H. Bunke. Fast suboptimal algorithms for the computation of graph edit distance. In Proc. Joint IAPR Workshops on Structural and Syntactic Pattern Recognition and Statistical Techniques in Pattern Recognition, pages 163–172, Hong Kong, 2006.
• E. Pekalska, Harol A., R.P.W. Duin, B. Spillmann, and H. Bunke. Non-Euclidean or non-metric measures can be informative. In Proc. Joint IAPR Workshops on Structural and Syntactic Pattern Recognition and Statistical Techniques in Pattern Recognition, pages 871–880, Hong Kong, 2006.
• A. Schenker, H. Bunke, M. Last, and A. Kandel. Polynomial time complexity graph distance computation for web content mining. In M. Basu and T. K. Ho, editors, Data Complexity in Pattern Recognition, pages 197–215. Springer, 2006.
• A. Schlapbach and H. Bunke. Off-line writer identification using Gaussian mixture models. In Proc. 18th Int. Conference on Pattern Recognition, volume 3, pages 992–995, Hong Kong, 2006.
• A. Schlapbach and H. Bunke. Off-line writer verification: a comparison of a hidden Markov model (HMM) and a Gaussian mixture model (GMM) based system. In Proc. 10th Int. Workshop Frontiers in Handwriting Recognition, pages 275–280, 2006.
• B. Spillmann, M. Neuhaus, and H. Bunke. Multiple classifier systems for embedded string patterns. In Proc. 2nd Int. Workshop on Artificial Neural Networks in Pattern Recognition, pages 177–187, Reisensburg Castle, Germany, 2006.
• B. Spillmann, M. Neuhaus, H. Bunke, E. Pekalska, and B. Duin. Transforming strings to vector spaces using prototype selection. In Proc. Joint IAPR Workshops on Structural and Syntactic Pattern Recognition and Statistical Techniques in Pattern Recognition, pages 287–296, Hong Kong, 2006.
• R. Bertolami and H. Bunke. Ensemble methods for handwritten text line recognition systems. In Proc. IEEE Int. Conf. on Systems, Man and Cybernetics, pages 2334–2339, 2005.
• R. Bertolami and H. Bunke. Multiple handwritten text recognition systems derived from specific integration of a language model. In Proc. 8th Int. Conf. on Document Analysis and Recognition, pages 521–526, 2005.
• H. Bunke, P. Dickinson, Ch. Irniger, and M. Kraetzl. Analysis of time series of graphs: prediction of node presence by means of decision tree learning. In Proc. Int. Conf. on Machine Learning and Data Mining, pages 366–375, 2005.
• H. Bunke, P. Dickinson, and M. Kraetzl. Comparison of two different prediction schemes for the analysis of time series of graphs. In J. Marques, N. Perez de Blanca, and P. Pina, editors, Pattern Recognition and Image Analysis, Proc. 2nd Iberian Conference IbPRIA, Part II, LNCS 3523, pages 99–106. Springer, 2005.
• H. Bunke, P. Dickinson, and M. Kraetzl. Recovery of missing information in graph sequences. In L. Brun and M. Vento, editors, Graph-Based Representations in Pattern Recognition, LNCS 3434, pages 312–321. Springer, 2005.
• H. Bunke, P. Dickinson, and M. Kraetzl. Theoretical and algorithmic framework for hypergraph matching. In F. Roli and S. Vitulano, editors, Proc. 13th Int. Conf. on Image Analysis and Processing, LNCS 3617, pages 463–470. Springer, 2005.
• H. Bunke, Ch. Irniger, and M. Neuhaus. Graph matching – challenges and potential solutions. In F. Roli and S. Vitulano, editors, Proc. 13th Int. Conf. on Image Analysis and Processing, LNCS 3617, pages 1–10. Springer, 2005.
• Ch. Irniger and H. Bunke. Decision trees for error-tolerant graph database filtering. In L. Brun and M. Vento, editors, Graph-Based Representations in Pattern Recognition, LNCS 3434, pages 301–311. Springer, 2005.
• X. Jiang, C. Marti, Ch. Irniger, and H. Bunke. Image segmentation evaluation by techniques of comparing clusterings. In F. Roli and S. Vitulano, editors, Proc. 13th Int. Conf. on Image Analysis and Processing, LNCS 3617, pages 344–351. Springer, 2005.
• B. Le Saux and H. Bunke. Feature selection for graph-based image classifiers. In J. Marques, N. Perez de Blanca, and P. Pina, editors, Pattern Recognition and Image Analysis, Proc. 2nd Iberian Conference IbPRIA, Part II, LNCS 3523, pages 147–154. Springer, 2005.
• M. Liwicki and H. Bunke. Enhancing training data for handwriting recognition of whiteboard notes with samples from a different database. In Proc. 8th Int. Conf. on Document Analysis and Recognition, pages 550–554, 2005.
• M. Liwicki and H. Bunke. Handwriting recognition of whiteboard notes. In Proc. 12th Conference of the International Graphonomics Society, pages 118–122, 2005.
• M. Liwicki and H. Bunke. IAM-OnDB – an on-line English sentence database acquired from handwritten text on a whiteboard. In Proc. 8th Int. Conf. on Document Analysis and Recognition, pages 956–961, 2005.
• M. Neuhaus and H. Bunke. Edit distance based kernel functions for attributed graph matching. In L. Brun and M. Vento, editors, Graph-Based Representations in Pattern Recognition, LNCS 3434, pages 352–361. Springer, 2005.
• M. Neuhaus and H. Bunke. Graph-based multiple classifier systems – A data level fusion approach. In F. Roli and S. Vitulano, editors, Proc. 13th Int. Conf. on Image Analysis and Processing, LNCS 3617, pages 479–486. Springer, 2005.
• M. Neuhaus and H. Bunke. A graph matching based approach to fingerprint classification using directional variance. In Proc. 5th Int. Conf. on Audio- and Video-Based Biometric Person Authentification, pages 191–200, 2005.
• A. Schenker, H. Bunke, M. Last, and A. Kandel. Classification and clusterings of documents using graph models. In Ch. Chen and P. Wang, editors, Handbook of Pattern Recognition and Computer Vision, pages 287–301. World Scientific Publ. Co., 2005.
• A. Schlapbach and H. Bunke. Writer identification using an HMM-based handwriting recognition system: to normalize the input or not? In Proc. 12th Conference of the International Graphonomics Society, pages 138–142, 2005.
• A. Schlapbach, V. Kilchherr, and H. Bunke. Improving writer identification by means of feature selection and extraction. In Proc. 8th Int. Conf. on Document Analysis and Recognition, pages 131–135, 2005.
• A. Serrau, G. L. Marcialis, H. Bunke, and F. Roli. An experimental comparison of fingerprint classification methods using graphs. In L. Brun and M. Vento, editors, Graph-Based Representations in Pattern Recognition, LNCS 3434, pages 281–290. Springer, 2005.
• T. Varga and H. Bunke. Tree structure for word extraction from handwritten text lines. In Proc. 8th Int. Conf. on Document Analysis and Recognition, pages 352–356, 2005.
• T. Varga, D. Kilchhofer, and H. Bunke. Template-based synthetic handwriting generation for the training of recognition systems. In Proc. 12th Conference of the International Graphonomics Society, pages 206–211, 2005.
• H. Bunke and M. Kraetzl. Classification and detection of abnormal events in time series of graphs. In Last M., A. Kandel, and H. Bunke, editors, Data Mining in Time Series Databases, pages 127–148. World Scientific, 2004.
• H. Bunke, P. Dickinson, and M. Kraetzl. Matching sequences of graphs with applications in computer network analysis. In Proc. 8th World Multi-Conference on Systemics, Cybernetics and Informatics, pages 270–275, 2004.
• S. Günter and H. Bunke. Combination of three classifiers with different architectures for handwritten word recognition. In Proc. 9th Int. Workshop on Frontiers in Handwriting Recognition, pages 63–68, 2004.
• S. Günter and H. Bunke. Ensembles of classifiers derived from multiple prototypes and their application to handwriting recognition. In F. Roli, J. Kittler, and T. Windeatt, editors, Multiple Classifier Systems, Proc. 5th Int. Workshop, MCS 2004, LNCS 3077, pages 314–323. Springer, 2004.
• S. Günter and H. Bunke. Ensembles of classifiers for handwritten word recognition specialized on individual handwriting styles. In S. Marinai and A. Dengel, editors, Document Analysis Systems IV, Proc. 6th Int. Workshop, LNCS 3163, pages 286–297. Springer, 2004.
• S. Günter and H. Bunke. Evaluation of classical and novel ensemble methods for handwritten word recognition. In A. Fred, T. Caelli, R. P. W. Duin, A. Campilho, and D. d. Ridder, editors, Structural, Syntactic, and Statistical Pattern Recognition, Proc. Joint IAPR Int. Workshops SSPR and SPR, LNCS 3138, pages 583–573. Springer, 2004.
• S. Günter and H. Bunke. An evaluation of ensemble methods in handwritten word recognition based on feature selection. In Proc. 17th Int. Conference on Pattern Recognition, volume 1, pages 388–392. IEEE, 2004.
• Ch. Irniger and H. Bunke. Decision tree structures for graph database filtering. In A. Fred, T. Caelli, R. P. W. Duin, A. Campilho, and D. d. Ridder, editors, Structural, Syntactic, and Statistical Pattern Recognition, Proc. Joint IAPR Int. Workshops SSPR and SPR, LNCS 3138, pages 66–75. Springer, 2004.
• Ch. Irniger and H. Bunke. Graph database filtering using decision trees. In Proc. 17th Int. Conference on Pattern Recognition, volume 3, pages 383–388, 2004.
• X. Jiang, H. Bunke, and J. Csirik. Median strings: A review. In M. Last, A. Kandel, and H. Bunke, editors, Data Mining in Time Series Databases, pages 173–192. World Scientific, 2004.
• M. Neuhaus and H. Bunke. An error-tolerant approximate matching algorithm for attributed planar graphs and its application to fingerprint classification,. In A. Fred, T. Caelli, R. P. W. Duin, A. Campilho, and D. d. Ridder, editors, Structural, Syntactic, and Statistical Pattern Recognition, Proc. Joint IAPR Int. Workshops SSPR and SPR, LNCS 3138, pages 180–189. Springer, 2004.
• M. Neuhaus and H. Bunke. A probabilistic approach to learning costs for graph edit distance. In ICPR Proc. 17th Int. Conference on Pattern Recognition, volume 3, pages 389–393, 2004.
• E. Pekalska, R. Duin, S. Günter, and H. Bunke. On not making dissimilarities Euclidean. In A. Fred, T. Caelli, R. P. W. Duin, A. Campilho, and D. d. Ridder, editors, Structural, Syntactic, and Statistical Pattern Recognition, Proc. Joint IAPR Int. Workshops SSPR and SPR, LNCS 3138, pages 1145–1154. Springer, 2004.
• A. Schenker, H. Bunke, M. Last, and A. Kandel. Building graph-based classifier ensembles by random node selection. In F. Roli, J. Kittler, and T. Windeatt, editors, Multiple Classifier Systems, Proc. 5th Int. Workshop, MCS 2004, LNCS 3077, pages 214–222. Springer, 2004.
• A. Schenker, H. Bunke, M. Last, and A. Kandel. A graph-based framework for web document mining. In S. Marinai and A. Dengel, editors, Document Analysis Systems IV, Proc. 6th Int. Workshop, LNCS 3163, pages 401–412. Springer, 2004.
• A. Schenker, M. Last, H. Bunke, and A. Kandel. Comparison of algorithms for web document clustering using graph representations of data. In A. Fred, T. Caelli, R. P. W. Duin, A. Campilho, and D. d. Ridder, editors, Structural, Syntactic, and Statistical Pattern Recognition, Proc. Joint IAPR Int. Workshops SSPR and SPR, LNCS 3138, pages 190–197. Springer, 2004.
• A. Schlapbach and H. Bunke. Off-line handwriting identification using HMM-based recognizers. In Proc. 17th Int. Conference on Pattern Recognition, volume 2, pages 654–658, 2004.
• A. Schlapbach and H Bunke. Using HMM-based recognizers for writer identification and verification. In Proc. 9th Int. Workshop on Frontiers in Handwriting Recognition, pages 167–172, 2004.
• T. Varga and H. Bunke. Comparing natural and synthetic training data for off-line cursive handwritten text recognition. In Proc. 9th Int. Workshop on Frontiers in Handwriting Recognition, pages 221–225, 2004.
• T. Varga and H. Bunke. Off-line handwritten textline recognition using a mixture of natural and synthetic training data. In Proc. 17th Int. Conference on Pattern Recognition, volume 2, pages 545–549, 2004.
• M. Zimmermann and H. Bunke. N-gram language models for offline handwritten text recognition. In Proc. 9th Int. Workshop on Frontiers in Handwriting Recognition, pages 203–208, 2004.
• M. Zimmermann and H. Bunke. Optimizing the integration of a statistical language model in HMM based offline handwritten text recognition. In Proc. 17th Int. Conference on Pattern Recognition, volume 2, pages 541–544, 2004.
• M. Zimmermann, R. Bertolami, and H. Bunke. Rejection strategies for offline handwritten sentence recognition. In Proc. 17th Int. Conference on Pattern Recognition, volume 2, pages 550–553, 2004.
• R. Ambauen, S. Fischer, and H. Bunke. Graph edit distance with node splitting and merging, and its application to diatom identification. In E. Hancock and M. Vento, editors, Graph Based Representations in Pattern Recognition in Proc. 4th Int. Workshop GBR2003, LNCS 2726, pages 95–106. Springer, 2003.
• H. Bunke. Graph-based tools for data mining and machine learning. In P. Perner and A. Rosenfeld, editors, Machine Learning and Data Mining in Pattern Recognition in Proc. 3rd Int. Conference on MLDM, LNAI 2734, pages 7–19. Springer, 2003.
• H. Bunke. Recognition of cursive Roman handwriting–past, present and future. In Proc. 7th Int. Conference on Document Analysis and Recognition, Edinburgh, pages 448–459. IEEE, 2003.
• H. Bunke, P. Foggia, C. Guidobaldi, and M. Vento. Graph clustering using the weighted minimum common supergraph. In E. Hancock and M. Vento, editors, Graph Based Representations in Pattern Recognition in Proc. 4th Int. Workshop GBR2003, LNCS 2726, pages 235–246. Springer, 2003.
• P. Dickinson, H. Bunke, A. Dadej, and M. Kraetzl. Novel graph distance measure based on intra-graph clustering and cluster distance. In Proc. 7th World Multiconference on Systemics, Cybernetics and Informatics, volume 3, pages 333–338, Orlando, Florida, 2003.
• P. Dickinson, H. Bunke, A. Dadej, and M. Kraetzl. On graphs with unique node labels. In E. Hancock and M. Vento, editors, Graph Based Representations in Pattern Recognition in Proc. 4th Int. Workshop GBR2003, LNCS 2726, pages 13–23. Springer, 2003.
• S. Günter and H. Bunke. Fast feature selection in an HMM-based multiple classifier system for handwriting recognition. In B. Michaelis and G. Krell, editors, DAGM-Symposium, LNCS 2781, pages 289–296. Springer, 2003.
• S. Günter and H. Bunke. New boosting algorithms for classification problems with large number of classes applied to a handwritten word recognition task. In T. Windeatt and F. Roli, editors, Multiple Classifier Systems in Proc. 4th Int. Workshop, LNCS 2709, pages 329–335. Springer, 2003.
• S. Günter and H. Bunke. Off-line cursive handwriting recognition–on the influence of training set and vocabulary size in multiple classifier systems. In Proc. of the 11th Conf. of the Int. Graphonomics Society, pages 196–199, 2003.
• S. Günter and H. Bunke. Optimizing the number of states, training iterations and Gaussians in an HMM-based handwritten word recognizer. In Proc. 7th Int. Conference on Document Analysis and Recognition, Edinburgh, pages 472–476. IEEE, 2003.
• M. Helmers and H. Bunke. Generation and use of synthetic training data in cursive handwriting recognition. In F. J. Perales, A. J. C. Campilho, N. P. de la Blanca, and A. Sanfeliu, editors, Pattern Recognition and Image Analysis in Proc. 1st Iberian Conference IbPRIA, LNCS 2652, pages 336–345. Springer, 2003.
• C. Hertel and H. Bunke. A set of novel features for writer identification. In J. Kittler and M.S. Nixon, editors, Audio-and Video-Based Biometric Person Authentication in Proc. 4th Int. Conference AVBPA, pages 679–687. Springer, 2003.
• Ch. Irniger and H. Bunke. Theoretical analysis and experimental comparison of graph matching algorithms for database filtering. In E. Hancock and M. Vento, editors, Graph Based Representations in Pattern Recognition in Proc. 4th Int. Workshop GBR2003, LNCS 2726, pages 118–129. Springer, 2003.
• M. Neuhaus and H. Bunke. Self-organizing graph edit distance. In E. Hancock and M. Vento, editors, Graph Based Representations in Pattern Recognition in Proc. 4th Int. Workshop GBR2003, LNCS 2726, pages 83–94. Springer, 2003.
• A. Schenker, M. Last, H. Bunke, and A. Kandel. Classification of web documents using a graph model. In Proc. 7th Int. Conference on Document Analysis and Recognition, Edinburgh, pages 240–244, 2003.
• A. Schenker, M. Last, H. Bunke, and A. Kandel. Clustering of web documents using a graph model. In A. Antonacopoulos and J. Hu, editors, Web Document Analysis: Challenges and Opportunities, pages 3–18. World Scientific, 2003.
• A. Schenker, M. Last, H. Bunke, and A. Kandel. Comparison of distance measures for graph-based clustering of documents. In E. Hancock and M. Vento, editors, Graph Based Representations in Pattern Recognition in Proc. 4th Int. Workshop GBR2003, LNCS 2726, pages 202–213. Springer, 2003.
• A. Schenker, M. Last, H. Bunke, and A. Kandel. A comparison of two novel clustering algorithms for web documents. In Proc. 2nd IAPR Workshop on Web Document Analysis, Edinburgh, pages 71–74, 2003.
• A. Schenker, M. Last, H. Bunke, and A. Kandel. Graphs representations for web document clustering. In F. J. Perales, A. J. C. Campilho, N. P. de la Blanca, and A. Sanfeliu, editors, Pattern Recognition and Image Analysis in Proc. 1st Iberian Conference IbPRIA,, LNCS 2652, pages 935–942. Springer, 2003.
• T. Varga and H. Bunke. Effects of training set expansion in handwriting recognition using synthetic data. In Proc. of the 11th Conf. of the Int. Graphonomics Society, pages 200–203, 2003.
• T. Varga and H. Bunke. Generation of synthetic training data for an HMM-based handwriting recognition system. In Proc. 7th Int. Conference on Document Analysis and Recognition, Edinburgh, pages 618–622. IEEE, 2003.
• A. Vinciarelli, S. Bengio, and H. Bunke. Offline recognition of large vocabulary cursive handwritten text. In Proc. 7th Int. Conference on Document Analysis and Recognition, Edinburgh, pages 1101–1105, 2003.
• M. Zimmermann, J.-C. Chappelier, and H. Bunke. Parsing N-best lists of handwritten sentences. In Proc. 7th Int. Conference on Document Analysis and Recognition, Edinburgh, pages 572–576, 2003.
• H. Bunke, P. Foggia, C. Guidobaldi, C. Sansone, and M. Vento. A comparison of algorithms for maximum common subgraph on randomly conntected graphs. In T. Caelli, A. Amin, R. Duin, M. Kamel, and D. de Ridder, editors, Structural, Syntactic, and Statistical Pattern Recognition in Proc. Joint IAPR Int. Workshops SSPR 2002 and SPR 2002, LNCS 2396, pages 123–132. Springer, 2002.
• H. Bunke, M. Kraetzl, P. Shoubridge, and W. Wallis. Measuring change in large enterprise data networks. In Proc. Int. Conference on Information, Decision and Control, pages 53–58, 2002.
• P. Dickinson, H. Bunke, A. Dadej, and M. Kraetzl. Median graphs and anomalous change detection in communication networks. In Proc. Int. Conference on Information, Decision and Control, pages 59–64, 2002.
• P.J. Dickinson, H. Bunke, A. Dadej, and M. Kraetzl. Similarity measure for hierarchical graph representation and its application to computer network monitoring. In Proc. 6th World Multiconference on Systemics, Cybernetics and Informatics, Orlando, Florida, volume 4, pages 457–462, 2002.
• S. Fischer and H. Bunke. Identification using classical and new features in combination with decision tree ensembles. In H. du Buf and M. Bayer, editors, Automatic Diatom Identification. World Scientific, 2002.
• S. Fischer, K. Gilomen, and H. Bunke. Identification of diatoms by grid graph matching. In T. Caelli, A. Amin, R. Duin, M. Kamel, and D. de Ridder, editors, Structural, Syntactic, and Statistical Pattern Recognition in Proc. Joint IAPR Int. Workshops SSPR 2002 and SPR 2002, LNCS 2396, pages 94–103. Springer, 2002.
• S. Fischer, H.R. Shahbazkia, and H. Bunke. Contour extraction. In H. du Buf and M. Bayer, editors, Automatic Diatom Identification. World Scientific, 2002.
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