Simon Günter - researchr alias

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Viewing Publication 1 - 31 from 31

2010

A Quasi-Newton Approach to Nonsmooth Convex Optimization Problems in Machine LearningJin Yu, S. V. N. Vishwanathan, Simon Günter, Nicol N. Schraudolph. jmlr, 11:1145-1200, 2010. [doi]

2009

Optimization of weights in a Multiple Classifier Handwrittenword Recognition System using a Genetic AlgorithmSimon Günter, Horst Bunke. In Horst Bunke, Juan José Villanueva, Gemma Sánchez, Xavier Otazu, editors, Progress in Computer Vision and Image Analysis. Volume 73 of Series in Machine Perception and Artificial Intelligence, pages 87-110, WorldScientific, 2009. [doi]

2008

A quasi-Newton approach to non-smooth convex optimizationJin Yu, S. V. N. Vishwanathan, Simon Günter, Nicol N. Schraudolph. icml 2008: 1216-1223 [doi]

2007

Fast Iterative Kernel Principal Component AnalysisSimon Günter, Nicol N. Schraudolph, S. V. N. Vishwanathan. jmlr, 8:1893-1918, 2007. [doi]

Stratification bias in low signal microarray studiesBrian J. Parker, Simon Günter, Justin Bedo. bmcbi, 8, 2007. [doi]

A Stochastic Quasi-Newton Method for Online Convex OptimizationNicol N. Schraudolph, Jin Yu, Simon Günter. jmlr, 2:436-443, 2007. [doi]

2006

On Authorship Attribution via Markov Chains and Sequence KernelsConrad Sanderson, Simon Günter. icpr 2006: 437-440 [doi]

Short Text Authorship Attribution via Sequence Kernels, Markov Chains and Author Unmasking: An InvestigationConrad Sanderson, Simon Günter. emnlp 2006: 482-491 [doi]

Fast Iterative Kernel PCANicol N. Schraudolph, Simon Günter, S. V. N. Vishwanathan. nips 2007: 1225-1232 [doi]

2004

HMM-based handwritten word recognition: on the optimization of the number of states, training iterations and Gaussian componentsSimon Günter, Horst Bunke. PR, 37(10):2069-2079, 2004. [doi]

Ensembles of Classifiers for Handwritten Word Recognition Specialized on Individual Handwriting StyleSimon Günter, Horst Bunke. das 2004: 286-297 [doi]

Evaluation of Classical and Novel Ensemble Methods for Handwritten Word RecognitionSimon Günter, Horst Bunke. gacm 2004: 583-591 [doi]

Multiple Classifier Systems In Offline Handwritten Word Recognition - On The Influence Of Training Set And Vocabulary SizeSimon Günter, Horst Bunke. ijprai, 18(7):1303-1320, 2004. [doi]

An Evaluation of Ensemble Methods in Handwritten Word Recognition Based on Feature SelectionSimon Günter, Horst Bunke. icpr 2004: 388-392 [doi]

Handwritten Word Recognition Using Classifier Ensembles Generated From Multiple PrototypesSimon Günter, Horst Bunke. ijprai, 18(5):957-974, 2004. [doi]

Feature selection algorithms for the generation of multiple classifier systems and their application to handwritten word recognitionSimon Günter, Horst Bunke. prl, 25(11):1323-1336, 2004. [doi]

Ensembles of Classifiers Derived from Multiple Prototypes and Their Application to Handwriting RecognitionSimon Günter, Horst Bunke. mcs 2004: 314-323 [doi]

Multiple classifier systems in offline cursive handwriting recognitionSimon Günter. PhD thesis, University of Bern, 2004. [doi]

Combination of three classifiers with different architectures for handwritten word recognitionSimon Günter, Horst Bunke. icfhr 2004: 63-68 [doi]

On Not Making Dissimilarities EuclideanElzbieta Pekalska, Robert P. W. Duin, Simon Günter, Horst Bunke. gacm 2004: 1145-1154 [doi]

2003

2002

2001

Weighted Mean of a Pair of GraphsHorst Bunke, Simon Günter. computing, 67(3):209-224, 2001. [doi]

Towards Bridging the Gap between Statistical and Structural Pattern Recognition: Two New Concepts in Graph MatchingHorst Bunke, Simon Günter, Xiaoyi Jiang. icapr 2001: 1-11 [doi]

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2010

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2001

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