contributor author | Adewumi, A.O. | |
contributor author | Arasomwan, A.M. | |
date accessioned | 2020-03-12T22:29:03Z | |
date available | 2020-03-12T22:29:03Z | |
date issued | 2014 | |
identifier other | 7011801.pdf | |
identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1084587?show=full | |
format | general | |
language | English | |
publisher | IEEE | |
title | Improved particle swarm optimization based on greedy and adaptive features | |
type | Conference Paper | |
contenttype | Metadata Only | |
identifier padid | 8221878 | |
subject keywords | Boltzmann machines | |
subject keywords | n feature extraction | |
subject keywords | n image processing | |
subject keywords | n learning (artificial intelligence) | |
subject keywords | n DBM | |
subject keywords | n deep Boltzmann machines | |
subject keywords | n eye fixation data | |
subject keywords | n feature learning | |
subject keywords | n learning algorithms | |
subject keywords | n saliency computation model | |
subject keywords | n saliency detection | |
subject keywords | n visual features | |
subject keywords | n Computational modeling | |
subject keywords | n Data models | |
subject keywords | n Educational institutions | |
subject keywords | n Feature extraction | |
subject keywords | n Image color analysis | |
subject keywords | n Training | |
subject keywords | n Visualization | |
subject keywords | n Deep Boltzmann Machine | |
subject keywords | n Saliency detection | |
identifier doi | 10.1109/ICME.2014.6890224 | |
journal title | warm Intelligence (SIS), 2014 IEEE Symposium on | |
filesize | 369060 | |
citations | 0 | |