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Resultats globals: 5 registres trobats en 0.03 segons.
Articles, 5 registres trobats

Articles	5 registres trobats

22 p, 1.8 MB

Topological Data Analysis and its usefulness for precision medicine studies / Iniesta, Raquel (King's College London. Institute of Psychiatry, Psychology & Neuroscience) ; Carr, Ewan (King's College London. Institute of Psychiatry, Psychology & Neuroscience) ; Carrière, Mathieu (Inria Sophia-Antipolis, DataShape Team, Biot, France) ; Yerolemou, Naya (The University of Oxford and The Alan Turing Institute) ; Michel, Bertrand (Ecole Centrale de Nantes, Laboratoire de Mathématiques Jean Leray - Unité mixte de recherche Centre National de la Recherche Scientifique) ; Chazal, Frédéric (Inria Saclay - Ile-de-France)
Precision medicine allows the extraction of information from complex datasets to facilitate clinical decision-making at the individual level. Topological Data Analysis (TDA) offers promising tools that complement current analytical methods in precision medicine studies. [...]
2022 - DOI (Digital Object Identifier)

10.2436/20.8080.02.120
SORT : statistics and operations research transactions, Vol. 46 Núm. 1 (2022) , p. 115-136 (Articles)

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4 p, 515.1 KB

Selection of relevant information to improve Image Classification using Bag of Visual Words / Fidalgo Fernández, Eduardo ; Alegre Gutiérrez, Enrique, dir. (Universidad de León. Departamento de Ingeniería Eléctrica y de Sistemas y Automática) ; González-Castro, Víctor, dir. (Universidad de León. Departamento de Ingeniería Eléctrica y de Sistemas y Automática)
One of the main challenges in computer vision is image classification. Nowadays the number of images increases exponentially every day; therefore, it is important to classify them in a reliable way. [...]
2017 - DOI (Digital Object Identifier)

10.5565/rev/elcvia.1102
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 16 Núm. 2 (2017) , p. 5-8 (Special Issue on Recent PhD Thesis Dissemination (2017))

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3 p, 1.2 MB

Integrated Registration, Segmentation, and Interpolation for 3D/4D Sparse Data / Paiement, Adeline
We address the problem of object modelling from 3D and 4D sparse data acquired as different sequences which are misaligned with respect to each other. Such data may result from various imaging modalities and can therefore present very diverse spatial configurations and appearances. [...]
2015 - DOI (Digital Object Identifier)

10.5565/rev/elcvia.712
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 14 Núm. 3 (2015) , p. 6-8 (Special Issue on Recent PhD Thesis Dissemination (2014))

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2 p, 529.7 KB

Learning to Represent Handwritten Shapes and Words for Matching and Recognition / Almazán, Jon
Writing is one of the most important forms of communication and for centuries, handwriting had been the most reliable way to preserve knowledge. However, despite the recent development of printing houses and electronic devices, handwriting is still broadly used for taking notes, doing annotations, or sketching ideas. [...]
2015 - DOI (Digital Object Identifier)

10.5565/rev/elcvia.728
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 14 Núm. 3 (2015) , p. 52-53 (Special Issue on Recent PhD Thesis Dissemination (2014))

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19 p, 5.9 MB

Principal Deformations Modes of Articulated Models for the Analysis of 3D Spine Deformities / Boisvert, Jonathan (École Polytechnique de Montréal) ; Cheriet, Farida (École Polytechnique de Montréal) ; Pennec, Xavier (INRIA (França). Asclepios Project Team) ; Labelle, Hubert (Sainte-Justine Hospital (Montréal, Canadà)) ; Ayache, Nicholas (INRIA (França). Asclepios Project Team)
Articulated models are commonly used for recognition tasks in robotics and in gait analysis, but can also be extremely useful to develop analytical methods targeting spinal deformities studies. The threedimensional analysis of these deformities is critical since they are complex and not restricted to a given plane. [...]
2008 - DOI (Digital Object Identifier)

10.5565/rev/elcvia.165
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, V. 7 n. 4 (2008) p. 13-31

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