Multi-view uncorrelated linear discriminant analysis with applications to handwritten digit recognition
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: 2014DOI: 10.1109/ICMLC.2014.7009128
Keyword(s): Abstracts,Accuracy,Lead,Training,Tuning,Auto-encoder,Bi-firing function,Deep Learning,Layer-wise scheme
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Multi-view uncorrelated linear discriminant analysis with applications to handwritten digit recognition
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| contributor author | Mo Yang , Shiliang Sun | |
| date accessioned | 2020-03-12T23:23:55Z | |
| date available | 2020-03-12T23:23:55Z | |
| date issued | 2014 | |
| identifier other | 6889523.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1110064 | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Multi-view uncorrelated linear discriminant analysis with applications to handwritten digit recognition | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8278737 | |
| subject keywords | Abstracts | |
| subject keywords | Accuracy | |
| subject keywords | Lead | |
| subject keywords | Training | |
| subject keywords | Tuning | |
| subject keywords | Auto-encoder | |
| subject keywords | Bi-firing function | |
| subject keywords | Deep Learning | |
| subject keywords | Layer-wise scheme | |
| identifier doi | 10.1109/ICMLC.2014.7009128 | |
| journal title | eural Networks (IJCNN), 2014 International Joint Conference on | |
| filesize | 367771 | |
| citations | 0 |