Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Quang Anh Bui"'
Publikováno v:
Archives of Civil Engineering, Vol vol. 67, Iss No 1, Pp 387-401 (2021)
The use of subway tunnel engineering technology has become more professional and refined with the growth of society and the advancement of science and technology. The initial construction process of a subway tunnel shield is the most critical part of
Externí odkaz:
https://doaj.org/article/138512b8c4604e9baab6e406fda3709c
Autor:
Qinghua Hu, Tiezhu Zhao, Tung Nguyen, Ken Inui, Ying Ma, Thi Hoa Nguyen, Van Cam Nguyen, Di Liu, Quang Anh Bui, Long Thanh To, Chuanbin Wang, Kegong Tian, George F. Gao
Publikováno v:
Emerging Infectious Diseases, Vol 14, Iss 11, Pp 1774-1776 (2008)
We characterized isolates from porcine respiratory and reproductive syndrome virus epidemics in Vietnam and China in 2007. These isolates showed ≈99% identity at the genomic level. Genetic analysis indicated that they share a discontinuous deletion
Externí odkaz:
https://doaj.org/article/2fe462b9eb8142e981fe8a447b9b7da7
Publikováno v:
2021 RIVF International Conference on Computing and Communication Technologies (RIVF).
Publikováno v:
2019 International Conference on Document Analysis and Recognition (ICDAR)
2019 International Conference on Document Analysis and Recognition (ICDAR), Sep 2019, Sydney, Australia. pp.393-400, ⟨10.1109/ICDAR.2019.00070⟩
ICDAR
2019 International Conference on Document Analysis and Recognition (ICDAR), Sep 2019, Sydney, Australia. pp.393-400, ⟨10.1109/ICDAR.2019.00070⟩
ICDAR
International audience; In this paper, we propose a method using Generative Adversarial Networks for automatically synthesizing document images that are similar to real printed documents captured by mobile phone's camera in unconstrained environment.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0fee6b888974a605a1ccfe7740c27996
https://hal.univ-lorraine.fr/hal-02965123
https://hal.univ-lorraine.fr/hal-02965123
Publikováno v:
DAS
2018 13th IAPR International Workshop on Document Analysis Systems (DAS)
2018 13th IAPR International Workshop on Document Analysis Systems (DAS), Apr 2018, Vienna, France. pp.275-280, ⟨10.1109/DAS.2018.32⟩
2018 13th IAPR International Workshop on Document Analysis Systems (DAS)
2018 13th IAPR International Workshop on Document Analysis Systems (DAS), Apr 2018, Vienna, France. pp.275-280, ⟨10.1109/DAS.2018.32⟩
Nowadays the number of mobile applications is fast growing. Among them, mobile applications based on Optical Character Recognition (OCR) play an important role. One of the main challenge of such applications to overcome is that the image acquisition
Publikováno v:
2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR)
2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR), Nov 2017, Kyoto, France. pp.169-174, ⟨10.1109/ICDAR.2017.36⟩
ICDAR
2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR), Nov 2017, Kyoto, France. pp.169-174, ⟨10.1109/ICDAR.2017.36⟩
ICDAR
In this paper, we propose an approach that automatically selects suitable document pre-processing algorithms to increase OCR performances. We first provide an experimental evaluations protocol to study effects of document pre-processing methods on di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f142da7cd3bcf53aa68cd80cdef16899
https://inria.hal.science/hal-02073408
https://inria.hal.science/hal-02073408
Publikováno v:
ICDAR
Proceedings of the International Conference on Document Analysis and Recognition (ICDAR), IEEE
Proceedings of the International Conference on Document Analysis and Recognition (ICDAR), IEEE, 2015, Paris, France
International Conference on Document Analysis and Recognition (ICDAR)
International Conference on Document Analysis and Recognition (ICDAR), Aug 2015, Nancy, France. pp.616-620
Proceedings of the International Conference on Document Analysis and Recognition (ICDAR), IEEE
Proceedings of the International Conference on Document Analysis and Recognition (ICDAR), IEEE, 2015, Paris, France
International Conference on Document Analysis and Recognition (ICDAR)
International Conference on Document Analysis and Recognition (ICDAR), Aug 2015, Nancy, France. pp.616-620
We are currently working on the concept of an interactive word retrieval system for ancient document collection navigation, based on query composition for non-expert users. We have introduced a new notion: invariants, which are writing pieces automat
Autor:
Thi Hoa Nguyen, Di Liu, Ken Inui, Long Thanh To, Van Cam Nguyen, Youjun Feng, Quang Anh Bui, Chuanbin Wang, George F. Gao, Kegong Tian, Tung Nguyen, Ying Ma, Tiezhu Zhao
Publikováno v:
Emerging Infectious Diseases, Vol 14, Iss 11, Pp 1774-1776 (2008)
Emerging Infectious Diseases
Emerging Infectious Diseases
We characterized isolates from porcine respiratory and reproductive syndrome virus epidemics in Vietnam and China in 2007. These isolates showed approximately 99% identity at the genomic level. Genetic analysis indicated that they share a discontinuo
Publikováno v:
ICDAR
Proceedings of the International Conference on Document Analysis and Recognition (ICDAR 2013)
International Conference on Document Analysis and Recognition (ICDAR 2013)
International Conference on Document Analysis and Recognition (ICDAR 2013), Aug 2013, United States. pp.1357-1361
Proceedings of the International Conference on Document Analysis and Recognition (ICDAR 2013)
International Conference on Document Analysis and Recognition (ICDAR 2013)
International Conference on Document Analysis and Recognition (ICDAR 2013), Aug 2013, United States. pp.1357-1361
International audience; We are currently working on the concept of an omni script and interactive word retrieval system for ancient document collection navigation, based on query composition. To make the query, user selects and composes writing piece
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b8a776acc400f02b983198d39cd46ba8
https://hal.archives-ouvertes.fr/hal-00859757
https://hal.archives-ouvertes.fr/hal-00859757
Publikováno v:
ICDAR
In this paper, we present two text-independent writer identification methods in a closed-world context. Both methods use on-line and off-line features jointly with a classifier inspired from information retrieval methods. These methods are local, res