Applications of lp-Norms and their Smooth Approximations for Gradient Based Learning Vector Quantization

Mandy Lange, Dietlind Zühlke, Olaf Holz, Thomas Villmann. Applications of lp-Norms and their Smooth Approximations for Gradient Based Learning Vector Quantization. In 22th European Symposium on Artificial Neural Networks, ESANN 2014, Bruges, Belgium, April 23-25, 2014. 2014. [doi]

@inproceedings{LangeZHV14,
  title = {Applications of lp-Norms and their Smooth Approximations for Gradient Based Learning Vector Quantization},
  author = {Mandy Lange and Dietlind Zühlke and Olaf Holz and Thomas Villmann},
  year = {2014},
  url = {http://www.elen.ucl.ac.be/Proceedings/esann/esannpdf/es2014-153.pdf},
  researchr = {https://researchr.org/publication/LangeZHV14},
  cites = {0},
  citedby = {0},
  booktitle = {22th European Symposium on Artificial Neural Networks, ESANN 2014, Bruges, Belgium, April 23-25, 2014},
}