Handwritting Recognition using Multi-Hypothesis based Semi-Supervised Learning for adaptation to specific documents - Archive ouverte HAL
Conference Papers Year : 2022

Handwritting Recognition using Multi-Hypothesis based Semi-Supervised Learning for adaptation to specific documents

Domains

Artificial Intelligence [cs.AI] Machine Learning [cs.LG] Neural and Evolutionary Computing [cs.NE] Document and Text Processing

Yann Soullard  : Connect in order to contact the contributor

https://hal.science/hal-03847153

Submitted on : Thursday, November 10, 2022-2:32:01 PM

Last modification on : Tuesday, July 16, 2024-10:02:30 AM

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hal-03847153 , version 1 (10-11-2022)

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  • HAL Id : hal-03847153 , version 1

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Alexandre Chapin, Yann Soullard, Aurélie Lemaitre, Bertrand B. Coüasnon. Handwritting Recognition using Multi-Hypothesis based Semi-Supervised Learning for adaptation to specific documents. Symposium International Francophone sur l’Ecrit et le Document (SIFED'2022), Oct 2022, Rennes, France. ⟨hal-03847153⟩

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