Service interruption on Monday 11 July from 12:30 to 13:00: all the sites of the CCSD (HAL, EpiSciences, SciencesConf, AureHAL) will be inaccessible (network hardware connection).
Skip to Main content Skip to Navigation
Conference papers

Improving a deep convolutional neural network architecture for character recognition

Bogdan Cirstea 1, 2 Laurence Likforman-Sulem 3 
1 S2A - Signal, Statistique et Apprentissage
LTCI - Laboratoire Traitement et Communication de l'Information
2 TSI - Département Traitement du Signal et des Images
3 LTCI - Laboratoire Traitement et Communication de l'Information
Document type :
Conference papers
Complete list of metadata
https://hal.telecom-paris.fr/hal-02412201
Contributor : TelecomParis HAL Connect in order to contact the contributor
Submitted on : Sunday, December 15, 2019 - 12:50:14 PM
Last modification on : Wednesday, November 3, 2021 - 6:20:46 AM

Identifiers

  • HAL Id : hal-02412201, version 1

Collections

INSTITUT-TELECOM | CNRS | PARISTECH | UNIV-PARIS-SACLAY | LTCI | IDS | S2A

Citation

Bogdan Cirstea, Laurence Likforman-Sulem. Improving a deep convolutional neural network architecture for character recognition. Document Recognition and Retrieval, Aug 2016, San Francisco, United States. ⟨hal-02412201⟩

Export

BibTeX TEI DC DCterms EndNote Datacite

Share

Metrics

Record views

24