Gradient-based learning applied to document recognition
- Author
- LECUN, Y1 ; BOTTOU, L1 ; BENGIO, Y2 ; HAFFNER, P1
[1] Speech and Image Processing Services Research Laboratory, AT&T Labs-Research, Red Bank, NJ 07701, United States
[2] Département d'Informatique et de Recherche Opérationelle, Université de Montréal, Montréal, Québec H3C 3J7, Canada - Issue title
- Intelligent signal processing
- Author (monograph)
- HAYKIN, Simon (Editor)1 ; KOSKO, Bart (Editor)2
[1] McMaster University, Hamilton, Ont. L8S 4K1, Canada
[2] University of Southern California, Los Angeles, CA 90089-2564, United States - Source
Proceedings of the IEEE. 1998, Vol 86, Num 11, pp 2278-2324 ; ref : 121 ref
- CODEN
- IEEPAD
- ISSN
- 0018-9219
- Scientific domain
- Electronics; Computer science; Telecommunications
- Publisher
- Institute of Electrical and Electronics Engineers, New York, NY
- Publication country
- United States
- Document type
- Article
- Language
- English
- Keyword (fr)
- Apprentissage Caractère manuscrit Reconnaissance caractère Réseau neuronal Segmentation
- Keyword (en)
- Learning Manuscript character Character recognition Neural network Segmentation
- Keyword (es)
- Aprendizaje Carácter manuscrito Reconocimiento carácter Red neuronal Segmentación
- Classification
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02C Artificial intelligence / 001D02C03 Pattern recognition. Digital image processing. Computational geometry
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D04 Telecommunications and information theory / 001D04A Information, signal and communications theory / 001D04A05 Signal processing / 001D04A05A Pattern recognition
- Discipline
- Computer science : theoretical automation and systems Telecommunications and information theory
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 1613361
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1109/5.726791 
https://dx.doi.org/10.1109/5.726791
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