DocumentCode
409956
Title
TDNN with masked inputs
Author
Alleau, Fabrice ; Poisson, Emilie ; Gaudin, Christian Viard ; Le Callet, Patrick
Author_Institution
Sch. of Electron. & Comput. Eng., Polytech. Nantes, France
Volume
2
fYear
2003
fDate
15-18 Dec. 2003
Firstpage
989
Abstract
A novel architecture based on a time delay neural network is proposed in this paper. The main idea is the introduction of selection masks which allow to specify neurons to a subset of features included in their receptive field. It turns out that the number of free parameters can be decreased while the performances of recognition remains very high. This architecture has been designed for embedded online handwriting recognition systems where memory capacity has to be reduced as much as possible.
Keywords
data encapsulation; handwriting recognition; neural nets; embedded online handwriting recognition system; masked input; memory capacity; neuron specification; time delay neural network; Artificial neural networks; Cellular neural networks; Character recognition; Computer architecture; Handwriting recognition; Hidden Markov models; Neural networks; Personal digital assistants; Switches; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Information, Communications and Signal Processing, 2003 and Fourth Pacific Rim Conference on Multimedia. Proceedings of the 2003 Joint Conference of the Fourth International Conference on
Print_ISBN
0-7803-8185-8
Type
conf
DOI
10.1109/ICICS.2003.1292607
Filename
1292607
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