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pro vyhledávání: '"Launay, Claire"'
This paper presents a new model of textures, obtained as realizations of a new class of fractional Brownian fields. These fields, called weighted tensorized fractional Brownian fields, are obtained by a relaxation of the tensor-product structure that
Externí odkaz:
http://arxiv.org/abs/2406.03313
Segmenting visual stimuli into distinct groups of features and visual objects is central to visual function. Classical psychophysical methods have helped uncover many rules of human perceptual segmentation, and recent progress in machine learning has
Externí odkaz:
http://arxiv.org/abs/2301.07807
Probabilistic finite mixture models are widely used for unsupervised clustering. These models can often be improved by adapting them to the topology of the data. For instance, in order to classify spatially adjacent data points similarly, it is commo
Externí odkaz:
http://arxiv.org/abs/1905.10629
Publikováno v:
Journal of Applied Probability, 57(4), 1198-1221 (2020)
Determinantal point processes (DPPs) enable the modeling of repulsion: they provide diverse sets of points. The repulsion is encoded in a kernel $K$ that can be seen as a matrix storing the similarity between points. The diversity comes from the fact
Externí odkaz:
http://arxiv.org/abs/1802.08429
Publikováno v:
In Neural Networks May 2022 149:107-123
Publikováno v:
Journal of Applied Probability, 2020 Dec 01. 57(4), 1198-1221.
Externí odkaz:
https://www.jstor.org/stable/48656666
Autor:
Launay, Claire
Publikováno v:
Probability [math.PR]. Université de Paris, 2020. English. ⟨NNT : 2020UNIP7034⟩
Determinantal point processes (DPPs in short) are probabilistic models that capture negative correlations or repulsion within a set of elements. They tend to generate diverse or distant subsets of elements. This notion of similarity or proximity betw
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::8a3a2e6add788860e7de0f7754c2b9ed
https://tel.archives-ouvertes.fr/tel-03189384
https://tel.archives-ouvertes.fr/tel-03189384
Akademický článek
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Autor:
Launay, Claire, Leclaire, Arthur
Publikováno v:
XXVIIème Colloque GRETSI Traitement du Signal & des Images
XXVIIème Colloque GRETSI Traitement du Signal & des Images, Aug 2019, Lille, France
XXVIIème Colloque GRETSI Traitement du Signal & des Images, Aug 2019, Lille, France
International audience; Because of their repulsive property, determinantal point processes (DPPs) provide an efficient tool to subsample discrete distributions. In this paper, we investigate the use of DPPs to subsample the distribution of patches of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::a1471d3c8aa478121acc6784ff760a5c
https://hal.archives-ouvertes.fr/hal-02088725
https://hal.archives-ouvertes.fr/hal-02088725
Autor:
Launay, Claire, Dabène, Olivier
Publikováno v:
Claire Launay; Olivier Dabène. Editorial Teseo, pp.234, 2019, Ciencias Políticas
Lejos de ser procesos simples y determinados por una sola variable, las democracias latinoamericanas están experimentando formas de profundizar su verdadero sentido, fortaleciendo prácticas participativas que permiten la deliberación y vinculació
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::e1cf7d59ddc763c99c01f15c13673cbd
https://hal-sciencespo.archives-ouvertes.fr/hal-03385173
https://hal-sciencespo.archives-ouvertes.fr/hal-03385173