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2010 – 2019
- 2015
[j2]Foti Coleca, Andreea State, Sascha Klement, Erhardt Barth, Thomas Martinetz:
Self-organizing maps for hand and full body tracking. Neurocomputing 147: 174-184 (2015)- 2013
- [b1]Sascha Klement:
The support feature machine - an odyssey in high-dimensional spaces. Universität Lübeck, 2013, pp. I-XI, 1-159 - [j1]Sascha Klement, Silke Anders, Thomas Martinetz:
The Support Feature Machine: Classification with the Least Number of Features and Application to Neuroimaging Data. Neural Comput. 25(6): 1548-1584 (2013) - [c8]Foti Coleca, Sascha Klement, Thomas Martinetz, Erhardt Barth:
Real-time skeleton tracking for embedded systems. Multimedia Content and Mobile Devices 2013: 86671X - [p1]Sascha Klement:
Die Support Feature Machine: Eine Odyssee in hochdimensionalen Räumen. Ausgezeichnete Informatikdissertationen 2013: 81-90 - 2011
- [c7]Sascha Klement, Thomas Martinetz:
On the Problem of Finding the Least Number of Features by L1-Norm Minimisation. ICANN (1) 2011: 315-322 - [c6]Sascha Klement, Fabian Timm, Erhardt Barth:
Illumination Correction for Image Stitching. IMAGAPP/IVAPP 2011: 81-86 - 2010
- [c5]Sascha Klement, Thomas Martinetz:
The Support Feature Machine for Classifying with the Least Number of Features. ICANN (2) 2010: 88-93 - [c4]Sascha Klement, Thomas Martinetz:
A New Approach to Classification with the Least Number of Features. ICMLA 2010: 141-146
2000 – 2009
- 2009
- [c3]Fabian Timm, Sascha Klement, Thomas Martinetz, Erhardt Barth:
Welding Inspection using Novel Specularity Features and a One-class SVM. VISAPP (1) 2009: 146-153 - 2008
- [c2]Sascha Klement, Amir Madany Mamlouk, Thomas Martinetz:
Reliability of Cross-Validation for SVMs in High-Dimensional, Low Sample Size Scenarios. ICANN (1) 2008: 41-50 - [c1]Fabian Timm, Sascha Klement, Thomas Martinetz:
Fast model selection for MaxMinOver-based training of support vector machines. ICPR 2008: 1-4
Coauthor Index
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