Zobrazeno 1 - 10
of 269
pro vyhledávání: '"Michel Verleysen"'
Autor:
Dounia Mulders, Cyril de Bodt, Nicolas Lejeune, Arthur Courtin, Giulia Liberati, Michel Verleysen, André Mouraux
Publikováno v:
PLoS ONE, Vol 15, Iss 4, p e0231698 (2020)
Thermosensation is crucial for humans to probe the environment and detect threats arising from noxious heat or cold. Over the last years, EEG frequency-tagging using long-lasting periodic radiant heat stimulation has been proposed as a means to study
Externí odkaz:
https://doaj.org/article/2c7aeb62ce2646b185941d5f947b4229
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 9, Iss 4 (2016)
Currently Mutual Information has been widely used in pattern recognition and feature selection problems. It may be used as a measure of redundancy between features as well as a measure of dependency evaluating the relevance of each feature. Since mar
Externí odkaz:
https://doaj.org/article/408ea55049cb4237a5f56d07c43ba8f1
Autor:
Made Windu Antara Kesiman, Dona Valy, Jean-Christophe Burie, Erick Paulus, Mira Suryani, Setiawan Hadi, Michel Verleysen, Sophea Chhun, Jean-Marc Ogier
Publikováno v:
Journal of Imaging, Vol 4, Iss 2, p 43 (2018)
This paper presents a comprehensive test of the principal tasks in document image analysis (DIA), starting with binarization, text line segmentation, and isolated character/glyph recognition, and continuing on to word recognition and transliteration
Externí odkaz:
https://doaj.org/article/c2db73398d6347cf835e970ff33462ad
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 1, Iss 2 (2008)
Probability density estimation (PDF) is a task of primary importance in many contexts, including Bayesian learning and novelty detection. Despite the wide variety of methods at disposal to estimate PDF, only a few of them are widely used in practice
Externí odkaz:
https://doaj.org/article/405c558b45aa4bb989ed1d4a962a19c2
Autor:
Stef van den Elzen, Gennady Andrienko, Natalia Andrienko, Brian D. Fisher, Rafael M. Martins, Jaakko Peltonen, Alexandru C. Telea, Michel Verleysen
Publikováno v:
IEEE Computer Graphics and Applications, 43(2), 78-88. IEEE Computer Society
We present a conceptual framework for the development of visual interactive techniques to formalize and externalize trust in machine learning (ML) workflows. Currently, trust in ML applications is an implicit process that takes place in the user-s mi
Publikováno v:
Pattern Recognition Letters. 148:92-99
Feature selection is an important preprocessing step in machine learning. It helps to better understand the importance of some features and to reduce the dimensionality of a dataset, which improves machine learning and information extraction. Among t
Publikováno v:
Journal of Integrated Circuits and Systems. 1:14-22
A digitally programmable analog Fuzzy Logic Controller (FLC) is presented. Input and output signals are processed in the analog domain whereas the parameters of the controller are stored in a built-in digital memory. Some new functional blocks have b
Publikováno v:
Neurocomputing, Vol. 503, p. 17-27 (2022)
Multidimensional scaling is a process that aims to embed high dimensional data into a lower-dimensional space; this process is often used for the purpose of data visualisation. Common multidimensional scaling algorithms tend to have high computationa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c238076859cccfdde3a987f3db828c83
Publikováno v:
PUB-Publications at Bielefeld University
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::dd80a23a2b11c9f7f6cc578e147f537f
https://pub.uni-bielefeld.de/record/2955948
https://pub.uni-bielefeld.de/record/2955948
Publikováno v:
ESANN 2021 proceedings.
Fast multi-scale neighbor embedding (f-ms-NE) is an algorithm that maps high-dimensional data to a low-dimensional space by preserving the multi-scale data neighborhoods. To lower its time complexity, f-ms-NE uses random subsamplings to estimate the