%0 Conference Paper %1 conf/wsom/LeKanderBV17 %A LeKander, Michael %A Biehl, Michael %A de Vries, Harm %B WSOM %D 2017 %E Lamirel, Jean-Charles %E Cottrell, Marie %E Olteanu, Madalina %I IEEE %K dblp %P 197-204 %T Empirical evaluation of gradient methods for matrix learning vector quantization. %U http://dblp.uni-trier.de/db/conf/wsom/wsom2017.html#LeKanderBV17 %@ 978-1-5090-6638-4

@inproceedings{conf/wsom/LeKanderBV17, added-at = {2019-06-02T00:00:00.000+0200}, author = {LeKander, Michael and Biehl, Michael and de Vries, Harm}, biburl = {https://www.bibsonomy.org/bibtex/2114e3ab644b75760e685b5b17c315c7b/dblp}, booktitle = {WSOM}, crossref = {conf/wsom/2017}, editor = {Lamirel, Jean-Charles and Cottrell, Marie and Olteanu, Madalina}, ee = {https://www.wikidata.org/entity/Q61968718}, interhash = {d6c4ed019ccee6f4fe7318d0f41c7fde}, intrahash = {114e3ab644b75760e685b5b17c315c7b}, isbn = {978-1-5090-6638-4}, keywords = {dblp}, pages = {197-204}, publisher = {IEEE}, timestamp = {2019-10-17T22:22:44.000+0200}, title = {Empirical evaluation of gradient methods for matrix learning vector quantization.}, url = {http://dblp.uni-trier.de/db/conf/wsom/wsom2017.html#LeKanderBV17}, year = 2017 }