Neural Networks
 1990
DOI: 10.1016/0893-6080(90)90057-r
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Experiments for isolated-word recognition with single- and two-layer perceptrons

Bernhard R. Kämmerer
1
,
Wolfgang A. Küpper
2
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Cited by 15 publications
(1 citation statement)
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“…In both applications the signal is a function of time. Recognition rates are better than 97.5% for speech and 95% for handwriting recognition [6].…”
Section: Experiments and Resultsmentioning
confidence: 99%

Logo and word matching using a general approach to signal registration

Suda
1
,
Bridoux
2
,
Kämmerer
3
et al.
Proceedings of the Fourth International Conference on Document Analysis and Recognition
16
0
9
0
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“…In both applications the signal is a function of time. Recognition rates are better than 97.5% for speech and 95% for handwriting recognition [6].…”
Section: Experiments and Resultsmentioning
confidence: 99%

Logo and word matching using a general approach to signal registration

Suda
1
,
Bridoux
2
,
Kämmerer
3
et al.
Proceedings of the Fourth International Conference on Document Analysis and Recognition
16
0
9
0
View full textAdd to dashboardCite
show abstract

An Automatic Particle Pickup Method Using a Neural Network Applicable to Low-Contrast Electron Micrographs

Ogura
1
,
Sato
2
2001
Journal of Structural Biology
50
0
32
0
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CNN: A speaker recognition system using a cascaded neural network

Zaki
1
,
Ghalwash
2
,
Elkouny3
1996
Multidim Syst Sign Process
4
0
1
0
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