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Serveur d'exploration sur l'OCR - Curation (Istex)

Index « ISSN » - entrée « NN »
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List of bibliographic references

Number of relevant bibliographic references: 14.
Ident.Authors (with country if any)Title
000052 (1997) Charles L. Wilson [États-Unis] ; James L. Blue [États-Unis] ; Omid M. OmidvarTraining Dynamics and Neural Network Performance
000068 (1992) Michael Sabourin [Canada] ; Amar Mitiche [Canada]Optical character recognition by a neural network
000314 (1993) Michael Sabourin ; Amar MiticheModeling and classification of shape using a Kohonen associative memory with selective multiresolution
000443 (1996) Alexander Shustorovich [États-Unis] ; Christopher W. Thrasher [États-Unis]Neural network positioning and classification of handwritten characters
000635 (1994) Alexander ShustorovichA subspace projection approach to feature extraction: The two-dimensional gabor transform for character recognition
000735 (1994) Roberto Battiti [Italie] ; Anna Maria CollaDemocracy in neural nets: Voting schemes for classification
000847 (1989) A. Rajavelu ; M. T. Musavi ; M. V. ShirvaikarA neural network approach to character recognition
000F99 (2001) Friedhelm Schwenker [Allemagne] ; Hans A. Kestler [Allemagne] ; Günther Palm [Allemagne]Three learning phases for radial-basis-function networks
001839 (2001) A. Mitiche [Canada] ; M. LebidoffPattern classification by a condensed neural network
001E36 (1994) Galina RogovaCombining the results of several neural network classifiers
001E50 (1995) Stavros J. Perantonis [Grèce] ; Dimitris A. Karras [Grèce]An efficient constrained learning algorithm with momentum acceleration
001E85 (2001) Khaled Ahmed Nagaty [Égypte]Fingerprints classification using artificial neural networks: a combined structural and statistical approach
002364 (1997) C. N. S. Ganesh Murthy [Inde] ; Y. V. Venkatesh [Inde]Encoded pattern classification using constructive learning algorithms based on learning vector quantization
003B85 (1988) Optical character recognition using multiple layer outer products for orthogonal feature extractions and classifications

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