contributor author | Xin Huang | |
contributor author | Qikai Lu | |
date accessioned | 2020-03-12T21:33:38Z | |
date available | 2020-03-12T21:33:38Z | |
date issued | 2014 | |
identifier other | 6947250.pdf | |
identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1052832?show=full | |
format | general | |
language | English | |
publisher | IEEE | |
title | A novel relearning approach for remote sensing image classification post-processing | |
type | Conference Paper | |
contenttype | Metadata Only | |
identifier padid | 8183077 | |
subject keywords | expectation-maximisation algorithm | |
subject keywords | n genomics | |
subject keywords | n random sequences | |
subject keywords | n computation time reduction | |
subject keywords | n expectation maximization | |
subject keywords | n genomic sequences | |
subject keywords | n iterations | |
subject keywords | n motif finding applications | |
subject keywords | n random projected spaces | |
subject keywords | n Biological system modeling | |
subject keywords | n Complexity theory | |
subject keywords | n Computational modeling | |
subject keywords | n Data models | |
subject keywords | n Measurement uncertainty | |
subject keywords | n Parametric statistics | |
subject keywords | n Position measurement | |
subject keywords | n Expectation Maximization | |
subject keywords | n Motif finding | |
subject keywords | n Random Projection | |
identifier doi | 10.1109/ICECI.2014.6767364 | |
journal title | eoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International | |
filesize | 365466 | |
citations | 0 | |