A graph theoretic approach to simulation and classification
Publisher:
Year
: 2014DOI: 10.1016/j.csda.2013.09.026
Keyword(s): Optical character recognition,Random field,Graph theory,Spatial correlation,Simulation
Collections
:
-
Statistics
A graph theoretic approach to simulation and classification
Show full item record
| contributor author | Kouritzin, Michael A. - Newton, Fraser - Wu, Biao | |
| date accessioned | 2020-03-11T15:43:33Z | |
| date available | 2020-03-11T15:43:33Z | |
| date issued | 2014 | |
| identifier issn | 0167-9473 | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/582871?locale-attribute=en | |
| format | general | |
| language | English | |
| publisher | Elsevier Science | |
| title | A graph theoretic approach to simulation and classification | |
| type | Journal Paper | |
| contenttype | Metadata Only | |
| identifier padid | 4443163 | |
| subject keywords | Optical character recognition | |
| subject keywords | Random field | |
| subject keywords | Graph theory | |
| subject keywords | Spatial correlation | |
| subject keywords | Simulation | |
| identifier doi | 10.1016/j.csda.2013.09.026 | |
| journal title | Computational Statistics & Data Analysis | |
| journal volume | 70 | |
| journal issue | 0 | |
| filesize | 588517 | |
| citations | 0 |