The following publications are possibly variants of this publication:
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- Gradient Based Learning in Vector Quantization Using Differentiable KernelsThomas Villmann, Sven Haase, Marika Kästner. wsom 2013: 193-204 [doi]
- A sparse kernelized matrix learning vector quantization model for human activity recognitionMarika Kästner, Marc Strickert, Thomas Villmann. esann 2013: [doi]
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- Generalized matrix learning vector quantizer for the analysis of spectral dataPetra Schneider, Frank-Michael Schleif, Thomas Villmann, Michael Biehl. esann 2008: 451-456 [doi]
- Generalized relevance learning vector quantizationBarbara Hammer, Thomas Villmann. NN, 15(8-9):1059-1068, 2002. [doi]