Using the quantization error from Self-Organized Map (SOM) output for detecting critical variability in large bodies of image time series in less than a minute.
Please log in to take part in the discussion (add own reviews or comments).
Cite this publication
More citation styles
- please select -
%0 Journal Article
%1 journals/corr/abs-1710-10648
%A Dresp-Langley, Birgitta
%A Wandeto, John Mwangi
%D 2017
%J CoRR
%K dblp
%T Using the quantization error from Self-Organized Map (SOM) output for detecting critical variability in large bodies of image time series in less than a minute.
%U http://dblp.uni-trier.de/db/journals/corr/corr1710.html#abs-1710-10648
%V abs/1710.10648
@article{journals/corr/abs-1710-10648,
added-at = {2018-08-13T00:00:00.000+0200},
author = {Dresp-Langley, Birgitta and Wandeto, John Mwangi},
biburl = {https://www.bibsonomy.org/bibtex/2054157425f5585336e94348245919f3c/dblp},
ee = {http://arxiv.org/abs/1710.10648},
interhash = {df007ca9d01fb31d2af13eb3846725c3},
intrahash = {054157425f5585336e94348245919f3c},
journal = {CoRR},
keywords = {dblp},
timestamp = {2018-08-14T12:16:08.000+0200},
title = {Using the quantization error from Self-Organized Map (SOM) output for detecting critical variability in large bodies of image time series in less than a minute.},
url = {http://dblp.uni-trier.de/db/journals/corr/corr1710.html#abs-1710-10648},
volume = {abs/1710.10648},
year = 2017
}