Zobrazeno 1 - 10
of 165
pro vyhledávání: '"BELAÏD, ABDEL"'
Autor:
Santosh, K. C., Belaïd, Abdel
Publikováno v:
Machine Vision Applications (2013)
The goal of the project is to extract content within table in document images based on learnt patterns. Real-world users i.e., clients first provide a set of key fields within the table which they think are important. These are first used to represen
Externí odkaz:
http://arxiv.org/abs/1304.1930
The aim of the paper is to separate handwritten and printed text from a real document embedded with noise, graphics including annotations. Relying on run-length smoothing algorithm (RLSA), the extracted pseudo-lines and pseudo-words are used as basic
Externí odkaz:
http://arxiv.org/abs/1303.4614
HMM and fuzzy logic: A hybrid approach for online Urdu script-based languages’ character recognition
Autor:
Razzak, Muhammad Imran a, ⁎, Anwar, Fareeha a, Husain, S.A. c, Belaid, Abdel b, Sher, Muhammad a
Publikováno v:
In Knowledge-Based Systems 2010 23(8):914-923
Autor:
Belabiod, Ahlem, Belaïd, Abdel
Publikováno v:
[Research Report] LORIA-Université de Lorraine; READ. 2018
Segmenting documents into lines and words is a very critical step before the recognition task. It is even more difficult for ancient and calligraphic writings, as is often the case in Arabic manuscript documents. In this work, we propose a new attemp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::97ebe0b5ad2b1cf12583570bcbcf64f3
https://hal.inria.fr/hal-01910559/document
https://hal.inria.fr/hal-01910559/document
Autor:
Boudaren, Mohamed El Yazid1 boudaren@gmail.com, Belaïd, Abdel2 abelaid@loria.fr
Publikováno v:
World Congress on Engineering 2009 (Volume 1). 2009, p828-833. 6p. 1 Color Photograph, 1 Diagram.
Autor:
Boudaren, Mohamed El Yazid1 boudaren@gmail.com, Belaïd, Abdel2 abelaid@loria.fr
Publikováno v:
World Congress on Engineering 2009 (Volume 1). 2009, p834-839. 6p. 10 Black and White Photographs, 3 Diagrams.
Publikováno v:
International Conference on Image Processing, Computer Vision, & Pattern Recognition
International Conference on Image Processing, Computer Vision, & Pattern Recognition, Jul 2018, Las Vegas, United States
International Conference on Image Processing, Computer Vision, & Pattern Recognition, Jul 2018, Las Vegas, United States
International audience; Named entity recognition (NER) remains a very challenging problem essentially when the document, where we perform it, is handwritten and ancient. Traditional methods using regular expressions or those based on syntactic rules,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::40454a9a7046e8fc08fdedc96c91cd75
https://hal.inria.fr/hal-01981613
https://hal.inria.fr/hal-01981613
Publikováno v:
In Pattern Recognition Letters 15 January 2016 70:38-44
Publikováno v:
CIFED-Colloque International Francophone sur l'Écrit et le Document
CIFED-Colloque International Francophone sur l'Écrit et le Document, Mar 2014, Nancy, France. pp.75-89
CIFED-Colloque International Francophone sur l'Écrit et le Document, Mar 2014, Nancy, France. pp.75-89
In this paper, we propose a stream-based semi-supervised active learning method for document classification, which is able to query (from an operator) the class labels of documents that are informative, according to an uncertainty measure. The method
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1a1880573b7e34a8ad92dfa233a9e2c5
https://inria.hal.science/hal-00980698/document
https://inria.hal.science/hal-00980698/document
Publikováno v:
Conférence Internationale Francophone sur l'Ecrit et le Document
Conférence Internationale Francophone sur l'Ecrit et le Document, Mar 2014, Nancy, France
Conférence Internationale Francophone sur l'Ecrit et le Document, Mar 2014, Nancy, France
International audience; RÉSUMÉ. Cet article propose une approche de segmentation supervisée de flux de documents. L'approche traite le flux de documents comme une suite de paires de pages et étudie la relation qui existe entre elles pour déceler
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d1e9ae5cc2f5ef4d487bb1d69a107983
https://hal.inria.fr/hal-01111746
https://hal.inria.fr/hal-01111746