Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Matthieu Exbrayat"'
Autor:
Florence Cloppet, Frank Lebourgeois, Guillaume Joutel, Hani Daher, Hubert Emptoz, Ikram Moalla, Imran Siddiqi, Lionel Martin, Matthieu Exbrayat, Nicole Vincent, Véronique Églin
Publikováno v:
Digital Medievalist, Vol 7, Iss 0 (2012)
In this paper we introduce the numerical tools that have been developed in the context of the Graphem project, in order to automate or leverage several steps in the study of medieval writing samples. We first describe various kinds of features that h
Externí odkaz:
https://doaj.org/article/411de56db32644169dabe7d1813e5b19
Publikováno v:
Pattern Recognition Letters
Pattern Recognition Letters, Elsevier, 2019, 131, pp.1-7. ⟨10.1016/j.patrec.2019.12.009⟩
Pattern Recognition Letters, Elsevier, 2019, 131, pp.1-7. ⟨10.1016/j.patrec.2019.12.009⟩
International audience; The ARCADIA project aims at using pattern recognition and machine learning to promote a systematic analysis of the large corpus of archaeological pottery fragments excavated in Saran (France). Dating from the High Middle Ages,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3016d8f6528cecf49732766d59c34eb7
https://hal-univ-orleans.archives-ouvertes.fr/hal-02406664
https://hal-univ-orleans.archives-ouvertes.fr/hal-02406664
Autor:
Matthieu Exbrayat, Teddy Debroutelle, Sylvie Treuillet, Sébastien Jesset, Aladine Chetouani, Lionel Martin
Publikováno v:
Journal of Electronic Imaging
Journal of Electronic Imaging, SPIE and IS&T, 2017, 26 (2), pp.023010-1-023010-14. ⟨10.1017/1.JEI.26.2.023010⟩
Journal of Electronic Imaging, SPIE and IS&T, 2017, 26 (2), pp.023010-1-023010-14. ⟨10.1017/1.JEI.26.2.023010⟩
International audience; A large corpus of ceramic sherds dating from the High Middle Ages has been extracted in Saran(France). The sherds have an engraved frieze made by the potter with a carved wooden wheel. These reliefpatterns can be used to date
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::405e9e03ce68dd718e5e174e271c3513
https://hal.archives-ouvertes.fr/hal-01548840
https://hal.archives-ouvertes.fr/hal-01548840
Autor:
Matthieu Exbrayat, Lionel Martin
Publikováno v:
Gazette du livre médiéval. 56:101-118
Exbrayat Matthieu, Martin Lionel. Exploration interactive d'un espace d'écritures médiévales. In: Gazette du livre médiéval, n°56-57. 2011. Analyse d'images et paléographie systématique. L'écriture entre histoire et science, sous la directio
Autor:
Mai Van Hoan, Matthieu Exbrayat
Publikováno v:
SoICT
4th International Symposium on Information and Communication Technology-SoICT 2013
4th International Symposium on Information and Communication Technology-SoICT 2013, Dec 2013, Da Nang, Vietnam. pp.ISBN:978-1-4503-2454-0
4th International Symposium on Information and Communication Technology-SoICT 2013
4th International Symposium on Information and Communication Technology-SoICT 2013, Dec 2013, Da Nang, Vietnam. pp.ISBN:978-1-4503-2454-0
International audience; In this paper, we focus on two aspects of time series mining: first on the transformation of numerical data to symbolic data; then on the search for frequent patterns in the resulting symbolic time series. We are thus interest
Publikováno v:
Advances in Knowledge Discovery and Management Vol. 2 (AKDM-2)
F. Guillet, G. Ritschard and D. Zighed. Advances in Knowledge Discovery and Management Vol. 2 (AKDM-2), Springer, pp.121-136, 2012, Studies in Computational Intelligence
Advances in Knowledge Discovery and Management ISBN: 9783642258374
EGC (best of volume)
F. Guillet, G. Ritschard and D. Zighed. Advances in Knowledge Discovery and Management Vol. 2 (AKDM-2), Springer, pp.121-136, 2012, Studies in Computational Intelligence
Advances in Knowledge Discovery and Management ISBN: 9783642258374
EGC (best of volume)
International audience; Projecting and visualizing objects in a two- or tree-dimension space is a standard data analysis task. In addition to this visualization it might be of interest to allow the user to add knowledge in the form of (di)similarity
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a1d16f75b393adeebb12cac888ca1297
https://hal.archives-ouvertes.fr/hal-00595035
https://hal.archives-ouvertes.fr/hal-00595035
Publikováno v:
ICDM Workshops
ICDMW 2011, The Eleventh IEEE International Conference on Data Mining Workshops
OEDM 2011, Optimization based approaches for Emerging Data Mining problems
OEDM 2011, Optimization based approaches for Emerging Data Mining problems, Dec 2011, Vancouver, Canada. pp._
ICDMW 2011, The Eleventh IEEE International Conference on Data Mining Workshops
OEDM 2011, Optimization based approaches for Emerging Data Mining problems
OEDM 2011, Optimization based approaches for Emerging Data Mining problems, Dec 2011, Vancouver, Canada. pp._
International audience; In this paper we introduce new models for semi-supervised clustering problem; in particular we address this problem from the representation space point of view. Given a dataset enhanced with constraints (typically must-link an
Autor:
Matthieu Exbrayat, Hani Daher, Guillaume Joutel, Hubert Emptoz, Nicole Vincent, Frank Lebourgeois, Lionel Martin, Véronique Eglin, Ikram Moalla, Florence Cloppet, Imran Siddiqi
Publikováno v:
Digital Medievalist
Digital Medievalist, University of Lethbridge, 2011, 2011 (7), http://www.digitalmedievalist.org/journal/7/cloppet/
Digital Medievalist; Vol 7 (2011)
Digital Medievalist, Vol 7 (2012)
Digital Medievalist, University of Lethbridge, 2011, 2011 (7), http://www.digitalmedievalist.org/journal/7/cloppet/
Digital Medievalist; Vol 7 (2011)
Digital Medievalist, Vol 7 (2012)
In this paper we introduce the numerical tools that have been developed in the context of the Graphem project, in order to automate or leverage several steps in the study of medieval writing samples. We first describe various kinds of features that h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6070bab0d2dc346dd188831a357a4c5f
https://hal.archives-ouvertes.fr/hal-00514409
https://hal.archives-ouvertes.fr/hal-00514409
Publikováno v:
Proceedings of the Ninth International Conference on Machine Learning and Applications
ICMLA 2010
ICMLA 2010, Dec 2010, Washington DC, United States. pp. 163-168
ICMLA
ICMLA 2010
ICMLA 2010, Dec 2010, Washington DC, United States. pp. 163-168
ICMLA
Markov Logic Networks (MLNs) combine Markov Networks and first-order logic by attaching weights to first order formulas and viewing them as templates for features of Markov Networks. Learning a MLN can be decomposed into structure learning and weight
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c2233a74e746e85b1e0133e7cd81dc79
https://hal.archives-ouvertes.fr/hal-00553007
https://hal.archives-ouvertes.fr/hal-00553007
Publikováno v:
Advanced Data Mining and Applications ISBN: 9783642173158
ADMA (1)
ADMA (1)
In this paper we present a bottom-up discriminative algorithm to learn automatically Markov Logic Network structures. Our approach relies on a new propositionalization method that transforms a learning dataset into an approximative representation in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f273de87ae9c47e2cd3f67e9a6af218
https://doi.org/10.1007/978-3-642-17316-5_3
https://doi.org/10.1007/978-3-642-17316-5_3