Weakly supervised alignment of image manifolds with semantic ties
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: 2014DOI: 10.1109/ICECI.2014.6767362
Keyword(s): autoregressive processes,n biomechanics,n cognition,n electro-oculography,n feature extraction,n medical signal detection,n medical signal processing,n radial basis function networks,n signal classification,n support vector machines,n ubiquitous computing,n Hjorth parameters,n adaptive autoregressive parameters,n average recognition accuracy,n context aware pervasive computing systems,n electrooculogram based cognitive context recognition,n electro
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Weakly supervised alignment of image manifolds with semantic ties
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| contributor author | Tuia, D. | |
| date accessioned | 2020-03-12T21:33:38Z | |
| date available | 2020-03-12T21:33:38Z | |
| date issued | 2014 | |
| identifier other | 6947248.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1052830 | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Weakly supervised alignment of image manifolds with semantic ties | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8183073 | |
| subject keywords | autoregressive processes | |
| subject keywords | n biomechanics | |
| subject keywords | n cognition | |
| subject keywords | n electro-oculography | |
| subject keywords | n feature extraction | |
| subject keywords | n medical signal detection | |
| subject keywords | n medical signal processing | |
| subject keywords | n radial basis function networks | |
| subject keywords | n signal classification | |
| subject keywords | n support vector machines | |
| subject keywords | n ubiquitous computing | |
| subject keywords | n Hjorth parameters | |
| subject keywords | n adaptive autoregressive parameters | |
| subject keywords | n average recognition accuracy | |
| subject keywords | n context aware pervasive computing systems | |
| subject keywords | n electrooculogram based cognitive context recognition | |
| subject keywords | n electro | |
| identifier doi | 10.1109/ICECI.2014.6767362 | |
| journal title | eoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International | |
| filesize | 890281 | |
| citations | 0 |