Multi-view uncorrelated linear discriminant analysis with applications to handwritten digit recognition
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: 2014شناسه الکترونیک: 10.1109/ICMLC.2014.7009128
کلیدواژه(گان): 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 |