%0 Conference Paper %1 conf/mva/TanisaroH19 %A Tanisaro, Pattreeya %A Heidemann, Gunther %B MVA %D 2019 %I IEEE %K dblp %P 1-6 %T A very concise feature representation for time series classification understanding. %U http://dblp.uni-trier.de/db/conf/mva/mva2019.html#TanisaroH19 %@ 978-4-901122-18-4

@inproceedings{conf/mva/TanisaroH19, added-at = {2019-07-13T00:00:00.000+0200}, author = {Tanisaro, Pattreeya and Heidemann, Gunther}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/214dc19e2ab86c4e359ffa51aecfcac79/dblp}, booktitle = {MVA}, crossref = {conf/mva/2019}, ee = {https://doi.org/10.23919/MVA.2019.8757981}, interhash = {f37310f2fd7f32da53107132b0085e97}, intrahash = {14dc19e2ab86c4e359ffa51aecfcac79}, isbn = {978-4-901122-18-4}, keywords = {dblp}, pages = {1-6}, publisher = {IEEE}, timestamp = {2019-09-27T18:55:48.000+0200}, title = {A very concise feature representation for time series classification understanding.}, url = {http://dblp.uni-trier.de/db/conf/mva/mva2019.html#TanisaroH19}, year = 2019 }