Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Mohamed MHIRI"'
Autor:
Sherif Abuelwafa, Sara Zhalepour, Ehsan Arabnejad, Mohamed Mhiri, Emilienne Greenfield, James P. Ascher, Sofia Bach, Victoria Svaikovsky, Alayne Moody, Andrew Piper, Chad Wellmon, Mohamed Cheriet
Publikováno v:
Journal of Cultural Analytics, Vol 3, Iss 1 (2018)
In “An Answer to the Question: What is Enlightenment?”, the eighteenth-century German philosopher Immanuel Kant responded to a big questionburied in a little footnote. But you wouldn’t know it, because contemporaryeditions of Kant’s famous es
Externí odkaz:
https://doaj.org/article/a8f1649daf2b4fd58c4177fc01b13029
Publikováno v:
Advances in Distributed Computing and Artificial Intelligence Journal, Vol 4, Iss 1, Pp 90-106 (2015)
Tunisia is well placed in terms of medical tourism and has highly qualified and specialized medical and surgical teams. Integrating social networks in Tunisian medical tourism recommender systems can result in much more accurate recommendations. That
Externí odkaz:
https://doaj.org/article/e66c29455c0540708f6f633006c6dbfc
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::68f7bf911c6fead4432cf149e7939826
https://doi.org/10.2139/ssrn.4113859
https://doi.org/10.2139/ssrn.4113859
Publikováno v:
Pattern Recognition. 88:312-320
This work addresses three important yet challenging problems of handwritten text understanding: word recognition, query-by-example (QBE) word spotting and query-by-string (QBS) word spotting. In most existing approaches, these related tasks are consi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d744657a55bedf4f678d3e78420b4b6
https://doi.org/10.1016/j.patcog.2018.11.017
https://doi.org/10.1016/j.patcog.2018.11.017
Publikováno v:
Pattern Recognition Letters. 111:87-93
Handwritten word recognition is a challenging task due to the large intra-class variability of handwritten shapes and the complexity of modeling and segmenting sequences of overlapping characters. This work proposes a novel approach based on deep con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f64e8edb554f2a604b448753a56e67b7
https://doi.org/10.1016/j.patrec.2018.04.025
https://doi.org/10.1016/j.patrec.2018.04.025
Publikováno v:
Pattern Recognition Letters. 101:52-59
Automatic segmentation-free and training-free word spotting is a challenging task due to the large intra-class variability of handwritten shapes and the need to process the whole document image. In this work, a novel unsupervised hierarchical handwri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dfb57591cd56256561c257feb1b4ee0e
https://doi.org/10.1016/j.patrec.2017.11.010
https://doi.org/10.1016/j.patrec.2017.11.010
Autor:
Andrew Piper, Mohamed Mhiri, James P. Ascher, Sara Zhalepour, Sofia Bach, Victoria Svaikovsky, Mohamed Cheriet, Ehsan Arabnejad, Chad Wellmon, Sherif Abuelwafa, Emilienne Greenfield, Alayne Moody
In "An Answer to the Question: What is Enlightenment?", the eighteenth-century German philosopher Immanuel Kant responded to a big question buried in a little footnote. But you wouldn't know it, because contemporary editions of Kant's famous essay no
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9b7664a7d065b02b12e45713df867341
https://doi.org/10.31235/osf.io/7m8ue
https://doi.org/10.31235/osf.io/7m8ue
Publikováno v:
IPTA
Classifying historical document images is a challenging task due to the high variability of their content and the common presence of degradation in these documents. For scholars, footnotes are essential to analyze and investigate historical documents
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::962158d11b74417b38c457487bb52edc
https://doi.org/10.1109/ipta.2017.8310140
https://doi.org/10.1109/ipta.2017.8310140
Publikováno v:
2017 IEEE/ACS 14th International Conference on Computer Systems and Applications (AICCSA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dd44f70009852c7059b86e0d93b5506e
https://doi.org/10.1109/aiccsa.2017.206
https://doi.org/10.1109/aiccsa.2017.206
Publikováno v:
ICIP
Word spotting in document images is a challenging problem, due to the large intra-class variability in handwritten shapes and the lack of labeled data. To tackle these challenges, this paper proposes an efficient multiscale representation for word im
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e4329538e814e5e436a10f72217d80e4
https://doi.org/10.1109/icip.2017.8296454
https://doi.org/10.1109/icip.2017.8296454