Publications
Thesis
- PhD thesis: Multiple Classifier Systems in Offline Cursive Handwriting Recognition, University of Bern, Switzerland, 2004
- Diploma thesis: Clustering von Graphen mit Hilfe des Kohonenverfahrens, University of Bern, Switzerland, 2000
Journal papers
- Simon Günter and Nicol N. Schraudolph and S.V. N. Vishwanathan.
Fast iterative kernel principal component analysis. Journal of Machine
Learning Research, accepted for publication.
- Brian J Parker, Simon Günter, and Justin Bedo. Stratification bias
in low signal microarray studies. BMC Bioinformatics, accepted for
publication.
- S. Günter and H. Bunke, Off-line cursive handwriting recognition using multiple classifier systems - on the influence of vocabulary, ensemble, and training set size, Optics and Lasers in Engineering, vol. 43, 2005, pages 437 - 454.
- S. Günter and H. Bunke, Handwritten word recognition using classifier ensembles generated from multiple prototypes, Int. Journal of Pattern Recognition and Art. Intelligence, vol. 18, no. 5, pages 957 - 974, 2004.
- S. Günter and H. Bunke, Multiple classifier systems in off-line handwritten word recognition - on the influence of training set and vocabulary size, Int. Journal of Pattern Recognition and Art. Intelligence, vol. 18, no. 7, pages 1303 - 1320, 2004.
- S. Günter and H. Bunke. Feature selection algorithms for the generation of multiple classifier systems and their application to handwritten word recognition, Pattern Recognition Letters, vol. 25, pages 1323 - 1336, 2004.
- S. Günter and H. Bunke. HMM-based handwritten word recognition: on the optimization of the number of states, training iterations and Gaussian components, Pattern Recognition , vol. 37, pages 2069 - 2079, 2004.
- S. Günter and H. Bunke. Optimization of weights in a multiple classifier handwritten word recognition system using a genetic algorithm, Electronic Letters of Computer Vision and Image Analysis, ELCVIA, Vol 3, No 1, 2004, 25 - 44.
- S. Günter and H. Bunke. Ensembles of Classifiers for Handwritten Word Recognition. International Journal of Document Analysis and Recognition, 5(4): 224 - 232, 2002.
- S. Günter and H. Bunke. Self-organizing map for clustering in the graph domain. Pattern Recognition Letters, 23: 401 - 417, 2002.
- S. Günter and H. Bunke. Weighted Mean of a Pair of Graphs. Computing, 67 (3): 209-224, 2001.
- S. Günter and H. Bunke. Validation indices for graph clustering. Pattern Recognition Letters, 24 (8), 1107-1113, 2003.
Conference and workshops
- Nicol N. Schraudolph, Jin Yu, and Simon Günter. A stochastic quasi-
Newton method for online convex optimization. In Marina Meila and
Xiaotong Shen, editors, Proc. 11th Intl. Conf. Artificial Intel ligence
and Statistics (AIstats), pages 433--440, San Juan, Puerto Rico, March
2007. Society for Artificial Intelligence and Statistics
- Nicol N. Schraudolph, Simon Günter, and S.V. N. Vishwanathan. Fast
iterative kernel PCA. In B. Schölkopf, J. Platt, and T. Hoffman, editors,
Advances in Neural Information Processing Systems, volume 19, pages
1225--1232, Cambridge, MA, 2007. MIT Press.
- C. Sanderson and S. Günter. On Authorship Attribution via Markov Chains and
Sequence Kernels. Proc. 18th Int. Conf. Pattern Recognition (ICPR), Hong Kong,
2006.
- S. Günter and H. Bunke, Combination of three classifiers with different architectures for handwritten word recognition, Proc. 9th Int. Workshop on Frontiers in Handwriting Recognition, 2004, pages 63 - 68, 2004.
- Simon Günter, H. Bunke: Evaluation of Classical and Novel Ensemble Methods for Handwritten Word Recognition, Proc 10th Int. Workshop on Structural and Syntactic Pattern Recognition (SSPR), pages 583-591, 2004.
- S. Günter and H. Bunke, Ensembles of Classifiers derived from Multiple Prototypes and their Application to Handwriting Recognition, Proc. of the 5th Int. Workshop on Multiple Classifier Systems, Cagliari, Italy, pages 314-323, 2004.
- S. Günter and H. Bunke. An evaluation of ensemble methods in handwritten word recognition based on feature selection, Proc. 17th Int. Conference on Pattern Recognition, vol. I, pages 388 - 392, 2004.
- 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 Conference of the International Graphonomics Society, Scottsdale, Arizona, USA, 2003.
- S. Günter and H. Bunke. Optimizing the Number of States, Training Iterations and Gaussians in an HMM-based Handwritten Word Recognizer. In Proc. of the 7th Int. Conference on Document Analysis and Recognition, volume 1, pages 472 - 476, Edinburgh, Scotland, 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, Proc. of the 25th DAGM Symposium, pages 289 - 296, Magdeburg, Germany. 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, Proc. of the 4th Int. Workshop on Multiple Classifier Systems, pages 326 - 335, Guildford, United Kingdom. Springer, 2003.
- S. Günter and H. Bunke. A new combination scheme for HMM-based classifiers and its application to handwriting recognition. In Proc. of the 16th Int. Conference on Pattern Recognition, volume 2, pages 332 - 337, Quebec, Canada, 2002.
- S. Günter and H. Bunke. Creation of classifier ensembles for handwritten word recognition using feature selection algorithms. In Proc. of the 8th Int. Workshop on Frontiers in Handwriting Recognition, pages 183 - 188, Niagara-on-the-Lake, Canada, 2002.
- S. Günter and H. Bunke. Generating classifier ensembles from multiple prototypes and its application to handwriting recognition. In F. Roli and J. Kittler, editors, Proc. of the 3rd Int. Workshop on Multiple Classifier Systems, pages 179 - 188, Cagliari, Italy. Springer, 2002.
- H. Bunke and S. Günter. Adaptive Self-Organizing Map in the Graph Domain. In Bunke, H. and Kandel, A.: Hybrid Methods in Pattern Recognition, World Scientific, pp. 61 - 74, 2002.
- S. Günter and H. Bunke. Validation indices for graph clustering. In J.-M. Jolion, W. Kropatsch, and M. Vento, editors, Proc. of the 3rd IAPR-TC15 Workshop on Graph-based Representations in Pattern Recognition, pages 229 - 238, 2001.
- H. Bunke, S. Günter, and X. Jiang. Towards bridging the gap between statistical and structural pattern recognition: Two new concepts in graph matching. In S. Singh, N. Murshed, and W. Kropatsch, editors, Advances in Pattern Recognition - ICAPR 2001, pages 1 - 11, 2001.