Zobrazeno 1 - 10
of 14
pro vyhledávání: '"VALIA GUERRA ONES"'
Autor:
Esin Ozturk-Isik, Ian Marshall, Patryk Filipiak, Arnold J. V. Benjamin, Valia Guerra Ones, Rafael Ortiz Ramón, Maria del C. Valdés Hernández
Publikováno v:
Royal Society Open Science, Vol 4, Iss 2 (2017)
The high-fidelity reconstruction of compressed and low-resolution magnetic resonance (MR) data is essential for simultaneously improving patient care, accuracy in diagnosis and quality in clinical research. Sponsored by the Royal Society through the
Externí odkaz:
https://doaj.org/article/1e38a361aae2457baf0283cd8a1f7355
Autor:
Darian Horacio Grass Boada, Alejandro Rosete Suárez, Jesús Eladio Sánchez García, Valia Guerra Ones
Publikováno v:
Revista Cubana de Ingeniería, Vol 3, Iss 3, Pp 57-64 (2013)
This paper presents a Knowledge Discovery on Databases (KDD) process applied on the internetsurfing logs at the University of Informatics Sciences. In this context, it describes a Web-UsageMining process using as data sources; the internet surfing lo
Externí odkaz:
https://doaj.org/article/d75db1aed40c426488b282c59096c020
Publikováno v:
Revista Colombiana de Estadística, Vol 28, Iss 1, Pp 63-76 (2005)
Montero et al. (2002) proposed a strategy to formulate multilevel models related to a contingency table sample. This methodology is based on the application of the general linear model to hierarchical categorical data. In this paper we applied the me
Externí odkaz:
https://doaj.org/article/20bf01439c4d42f4bd8087cf66b3736e
Autor:
Victoria Hernández Mederos, Isidro Abellό Ugalde, Rolando M. Bruno Alfonso, Domenico Lahaye null, Valia Guerra Ones
Publikováno v:
International Journal of Numerical Analysis and Modeling. 20:1-28
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d09e1a15174fcf5ca8b01517420c7ba
https://doi.org/10.4208/ijnam2023-1001
https://doi.org/10.4208/ijnam2023-1001
Publikováno v:
ICCV Workshops
2017 IEEE International Conference on Computer Vision Workshops (ICCVW)
2017 IEEE International Conference on Computer Vision Workshops (ICCVW)
Sparse coding-based algorithms have been successfully applied to the single-image super resolution problem. Conventional multi-image super-resolution (SR) algorithms incorporate auxiliary frames into the model by a registration process using subpixel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::17d8c5ce012a5f29b6666e2178f709ca
Publikováno v:
2017 IEEE 19th International Workshop on Multimedia Signal Processing (MMSP)
MMSP
MMSP
Block-wise super-resolution methods, and in particular sparse representation based approaches, often focus on spatial upsampling of still images. Applying such models to videos is an extremely time consuming process due to the expensive sparse coding
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b5a31d8d45a80105bb11497cd6c9dfc9
https://zenodo.org/record/1183514
https://zenodo.org/record/1183514
Autor:
Arnold Julian Vinoj Benjamin, Patryk Filipiak, Rafael Ortiz Ramón, Maria del C. Valdés Hernández, Valia Guerra Ones, Ian Marshall, Esin Ozturk-Isik
Publikováno v:
Royal Society Open Science
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
Royal Society Open Science, Vol 4, Iss 2 (2017)
Royal Society Open Science, 4(2)
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
Royal Society Open Science, Vol 4, Iss 2 (2017)
Royal Society Open Science, 4(2)
[EN] The high fidelity reconstruction of compressed and low-resolution magnetic resonance (MR) data is essential for simultaneously improving patient care, accuracy in diagnosis and quality in clinical research. Sponsored by the Royal Society through
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::671011f946f566108a6ba832dff3c135
https://www.repository.cam.ac.uk/handle/1810/310423
https://www.repository.cam.ac.uk/handle/1810/310423
Publikováno v:
ICIP
Video analysis often begins with background subtraction, which consists of creation of a background model that allows distinguishing foreground pixels. Recent evaluation of background subtraction techniques demonstrated that there are still considera
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::39a0323e2f27b7f11d17f74fb3327fda
https://zenodo.org/record/1133261
https://zenodo.org/record/1133261
Publikováno v:
ICIP
Decomposition of a video scene into background and foreground is an old problem, for which novel approaches in the last years have been proposed. The robust subspace approach based on a low-rank plus sparse matrix decomposition has shown a great abil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::356d08590e02558f893e50d2cae0cd78
https://doi.org/10.1109/icip.2015.7351731
https://doi.org/10.1109/icip.2015.7351731
Publikováno v:
Mathematics and Computers in Simulation. 73:65-75
We present a modified version of the two-level iterative method proposed in [M. Hanke, R. Vogel, Two-level preconditioners for regularized inverse problems. I: Theory, Numerische Mathematik 83 (1999) 385-402]. Here, we propose the application of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d91f7b33c06c517dd2819c8850814202
https://doi.org/10.1016/j.matcom.2006.06.023
https://doi.org/10.1016/j.matcom.2006.06.023