Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Cérès Carton"'
Publikováno v:
International Journal on Document Analysis and Recognition
International Journal on Document Analysis and Recognition, Springer Verlag, 2018, 21(4) (269-282), ⟨10.1007/s10032-018-0309-y⟩
International Journal on Document Analysis and Recognition, 2018, 21(4) (269-282), ⟨10.1007/s10032-018-0309-y⟩
International Journal on Document Analysis and Recognition, Springer Verlag, 2018, 21(4) (269-282), ⟨10.1007/s10032-018-0309-y⟩
International Journal on Document Analysis and Recognition, 2018, 21(4) (269-282), ⟨10.1007/s10032-018-0309-y⟩
International audience; This paper deals with the location of handwritten fields in old pre-printed registers. The images present the difficulties of old and damaged documents, and we also have to face the difficulty of extracting the text due to the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2a8cf8706edf8a8eddf8ed838cd08bcf
https://doi.org/10.1007/s10032-018-0309-y
https://doi.org/10.1007/s10032-018-0309-y
Autor:
Mael Guilleme, Véronique Masson, Alexandre Termier, Cérès Carton, Rene Quiniou, Laurence Rozé
Publikováno v:
LNCS
DARE 2017-5th International Workshop on Data Analytics for Renewable Energy Integration
DARE 2017-5th International Workshop on Data Analytics for Renewable Energy Integration, Sep 2017, Skopje, Macedonia. pp.59-71, ⟨10.1007/978-3-319-71643-5_6⟩
Data Analytics for Renewable Energy Integration: Informing the Generation and Distribution of Renewable Energy ISBN: 9783319716428
DARE@PKDD/ECML
DARE 2017-5th International Workshop on Data Analytics for Renewable Energy Integration
DARE 2017-5th International Workshop on Data Analytics for Renewable Energy Integration, Sep 2017, Skopje, Macedonia. pp.59-71, ⟨10.1007/978-3-319-71643-5_6⟩
Data Analytics for Renewable Energy Integration: Informing the Generation and Distribution of Renewable Energy ISBN: 9783319716428
DARE@PKDD/ECML
International audience; More and more sensors are used in industrial systems (machines , plants, factories...) to capture energy consumption. All these sensors produce time series data. Abnormal behaviours leading to over-consumption can be detected
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::07548dc8c25ef59eabe56313024280aa
https://hal.inria.fr/hal-01654890/document
https://hal.inria.fr/hal-01654890/document
Publikováno v:
International Journal on Document Analysis and Recognition
International Journal on Document Analysis and Recognition, Springer Verlag, 2017, 20 (2), pp.91-103. ⟨10.1007/s10032-017-0282-x⟩
International Journal on Document Analysis and Recognition, 2017, 20 (2), pp.91-103. ⟨10.1007/s10032-017-0282-x⟩
International Journal on Document Analysis and Recognition, Springer Verlag, 2017, 20 (2), pp.91-103. ⟨10.1007/s10032-017-0282-x⟩
International Journal on Document Analysis and Recognition, 2017, 20 (2), pp.91-103. ⟨10.1007/s10032-017-0282-x⟩
International audience; We present in this paper a new general method, the Eyes Wide Open method (EWO) for the design of rule-based document recognition systems. Our contribution is to introduce a learning procedure, through machine learning techniqu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fca91ee639aad607fd839558e698f734
https://hal.inria.fr/hal-01493442
https://hal.inria.fr/hal-01493442
Publikováno v:
International Conference on Document Analysis and Recognition (ICDAR)
International Conference on Document Analysis and Recognition (ICDAR), Aug 2015, Nancy, France
ICDAR
International Conference on Document Analysis and Recognition (ICDAR), Aug 2015, Nancy, France
ICDAR
International audience; Dealing with non annotated documents for the design of a document recognition system is not an easy task. In general, statistical methods cannot learn without an annotated ground truth, unlike syntactical methods. However thei
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::38ce7136fa69a464bcf40ce5f480c1ba
https://inria.hal.science/hal-01197470/file/icdar_2015_ccarton_hal.pdf
https://inria.hal.science/hal-01197470/file/icdar_2015_ccarton_hal.pdf
Publikováno v:
DRR
DRR-Document Recognition and Retrieval XXI
DRR-Document Recognition and Retrieval XXI, 2014, San Francisco, United States
DRR-Document Recognition and Retrieval XXI
DRR-Document Recognition and Retrieval XXI, 2014, San Francisco, United States
International audience; The analysis of 2D structured documents often requires localizing data inside of a document during the recognition process. In this paper we present LearnPos a new generic tool, independent of any document recognition system.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ece599a43620c852c5468cfbdb6bb3f3
https://doi.org/10.1117/12.2042379
https://doi.org/10.1117/12.2042379
Publikováno v:
ICDAR-International Conference on Document Analysis and Recognition
ICDAR-International Conference on Document Analysis and Recognition, 2013, Washington, United States. pp.1242-1246
ICDAR
ICDAR-International Conference on Document Analysis and Recognition, 2013, Washington, United States. pp.1242-1246
ICDAR
International audience; A critical step of on-line handwritten diagram recognition is the segmentation between text and symbols. It is still an open problem in several approaches of the literature. However, for a human operator, text/symbol segmentat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2b8fa172e4a3680a736f96d9091d6e89
https://inria.hal.science/hal-00921640/document
https://inria.hal.science/hal-00921640/document