contributor author | Li, Yuan | |
contributor author | Guo, Zhe | |
date accessioned | 2020-03-12T22:20:34Z | |
date available | 2020-03-12T22:20:34Z | |
date issued | 2014 | |
identifier other | 7003809.pdf | |
identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1079698?show=full | |
format | general | |
language | English | |
publisher | IEEE | |
title | An effective method of 3D facial features segmentation | |
type | Conference Paper | |
contenttype | Metadata Only | |
identifier padid | 8216054 | |
subject keywords | data analysis | |
subject keywords | n decision trees | |
subject keywords | n neural nets | |
subject keywords | n regression analysis | |
subject keywords | n support vector machines | |
subject keywords | n data processing | |
subject keywords | n data scientists | |
subject keywords | n decision trees | |
subject keywords | n exploratory data analysis | |
subject keywords | n exploratory data modelling | |
subject keywords | n linear regression | |
subject keywords | n neural networks | |
subject keywords | n programming languages | |
subject keywords | n spreadsheet-based interaction technique | |
subject keywords | n statistical modelling | |
subject keywords | n statistical tools | |
subject keywords | n support vector machines | |
subject keywords | n teach-and-try technique | |
subject keywords | n Biological system modeling | |
subject keywords | n Computati | |
identifier doi | 10.1109/VLHCC.2014.6883022 | |
journal title | mage and Signal Processing (CISP), 2014 7th International Congress on | |
filesize | 1026299 | |
citations | 0 | |