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- Info
Sascha Klement
erstellt von Thomas Klähn
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zuletzt verändert:
11.03.2010 17:01
Publikationen
Sascha Klement
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[1]
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Sascha Klement and Thomas Martinetz.
On the problem of finding the least number of features by L1-norm
minimisation.
In T. Honkela et al., editor, ICANN 2011, Part I, LNCS 6791,
pages 315-322. Springer, Heidelberg, 2011.
[ bib |
.pdf ]
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[2]
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Sascha Klement, Fabian Timm, and Erhardt Barth.
Illumination correction for image stitching.
In Proceedings of the Int. Conference on Imaging Theory and
Applications (IMAGAPP), volume 1, pages 81-86, Algarve, Portugal, 2011.
INSTICC.
[ bib |
.pdf ]
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[3]
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Sascha Klement and Thomas Martinetz.
The support feature machine for classifying with the least number of
features.
In Konstantinos I. Diamantaras, Wlodek Duch, and Lazaros S. Iliadis,
editors, Artificial Neural Networks - ICANN 2010, 20th International
Conference, Thessaloniki, Greece, September 15-18, 2010, Proceedings, Part
II, volume 6353 of Lecture Notes in Computer Science, pages 88-93.
Springer, 2010.
[ bib |
.pdf ]
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[4]
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Sascha Klement and Thomas Martinetz.
A new approach to classification with the least number of features.
In Proceedings of the 9th International Conference on Machine
Learning and Applications - ICMLA 2010, Whashington, D.C, USA, 12-14
December, 2010, pages 141-146. IEEE Computer Society, 2010.
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.pdf ]
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[5]
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Fabian Timm, Sascha Klement, Thomas Martinetz, and Erhardt Barth.
Welding inspection using novel specularity features and a one-class
SVM.
In Proceedings of the Int. Conference on Computer Theory and
Applications (VISAPP), volume 1, pages 146-153, Lisboa, Portugal, 2009.
INSTICC.
[ bib |
.pdf ]
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[6]
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Sascha Klement, Amir Madany Mamlouk, and Thomas Martinetz.
Reliability of Cross-Validation for SVMs in
High-Dimensional, Low Sample Size Scenarios.
In Vera Kurková, Roman Neruda, and Jan Koutník, editors,
Artificial Neural Networks - ICANN 2008, 18th International Conference,
Prague, Czech Republic, September 3-6, 2008, Proceedings, Part II, volume
5163 of Lecture Notes in Computer Science, pages 41-50. Springer,
2008.
http://www.springerlink.com/content/a852001534335865/.
[ bib |
.pdf ]
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[7]
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Fabian Timm, Sascha Klement, and Thomas Martinetz.
Fast model selection for MaxMinOver-based training of Support
Vector Machines.
In Proceedings of the 19th Int. Conference on Pattern
Recognition (ICPR), Tampa, Florida, USA, 2008. IEEE Computer Society
Press.
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.pdf ]
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[8]
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Sascha Klement.
Incremental Support Vector Regression for Steering Hot
Rolling Mills.
Diploma thesis, Universität zu Lübeck, 2006.
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.pdf ]
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