Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Brécheteau, Claire"'
Autor:
Brécheteau, Claire
Le volume de données disponibles est en perpétuelle expansion. Il est primordial de fournir des méthodes efficaces et robustes permettant d'en extraire des informations pertinentes. Nous nous focalisons sur des données pouvant être représentée
Externí odkaz:
http://www.theses.fr/2018SACLS334/document
Autor:
Zuily, Stéphane, Couturaud, Francis, Goehringer, François, Laporte, Silvy, Mismetti, Patrick, Presles, Emilie, Rossignol, Patrick, Thilly, Nathalie, Wahl, Denis, Lecompte, Thomas, Oger, Emmanuel, Sevestre, Marie-Antoinette, Parent, Florence, Benhamou, Ygal, Roy, Pierre-Marie, Gigante, Tristan, Gilg, Morgane, Maclot, Pierre-Luc, Rossignol, Bénédicte, Udot, Jonathan, Bouteille, Hélène, Buchmuller, Andréa, Peurière, Céline, Siaghy, El Mehdi, Bouaziz, Valérie, Daguin, Charlotte, Grosjean, Benjamin, Saunier, Véronique, Verger, Laurence, Jacquot, Madlyne, Petitpain, Nadine, Charly, Martin, Tordella, Laurent, Baronnet, Guillaume, Baux, Elisabeth, Benetos, Athanase, Blanvillain, Jean-Baptiste, Conrad, Marie, Courte, Guilhem, Cravoisy-Popovic, Aurélie, Dufrost, Virginie, Gibot, Sébastien, Guerci, Philippe, Joly, Laure, Kimmoun, Antoine, Koszutski, Matthieu, Larue, Alexandrine, Levy, Bruno, Losser, Marie-Reine, Mattei, Mathieu, Nace, Lionel, Novy, Emmanuel, Perez, Pierre, Pertek, Jean-Pierre, Rigaux, Camille, Sauvage, Alexis, Schvoerer, Evelyne, Thivilier, Carine, Volkov, Lev, Zieminski, Piotr, Benlounes, Manil, Cheng, Charles, Fréminville, Jean-Baptiste de, Détriché, Grégoire, Flammarion, Emmanuel, Goudot, Guillaume, Hamdan, Amer, Hindré, Raphaël, Manoli, Corina, Messas, Emmanuel, Michon, Adrien, Mirault, Tristan, Pastré, Jean, Penet, Marie-Aude, Planquette, Benjamin, Volle, Geoffroy, Hamdan, Rémy, Laubriet-Jazayeri, Aline, Petit, Vincent, Piroth, Lionel, Quenot, Jean Pierre, Saccu, Mélissa, Barraud, Damien, Cavalli, Zoé, Gaci, Rostane, Andreu, Mathilde, Bertoletti, Laurent, De Magalhaes, Elodie, Bulifon, Sophie, Boucly, Athénaïs, Ebstein, Nathan, Humbert, Marc, Jaïs, Xavier, Jevnikar, Mitja, Savale, Laurent, Seferian, Andrei Horia, Colin, Charlotte, Ganem, Timothée, Roumila, Mehdi, Chopard, Romain, Besutti, Matthieu, Mouhat, Basile, Andrejak, Claire, Dupas, Stéphane, Le Roy, Gaëlle, Samy-Modeliar, Santhi, Coste, Anne, Fauche, Alexandre, Goetghebeur, David, Gut-Gobert, Christophe, Hoffmann, Clément, Hourmant, Baptiste, L'hévéder, Cécile, Lemoigne, Emmanuelle, Nepveu, Olivier, Paret, Raphaël, Picart, Gaël, Azerkan, Saïd, Boudaa, Chadia, Campagne, Julien, Eszto, Peter, Godbert, Benoît, Guichard, Jean-François, Heschung, Marion, Legoff, Antoine, Mariot, Jacques, Martin, Pascale, Mercy, Magalie, Perrin, Julie, Raymond, Stéphane, Vernier, Nathalie, Fesler, Pierre, Henneton, Pierrick, Mercuzot, Cédric, Pansu, Nathalie, Perez, Lucas, Andre, Loïc, Bakhache, Edgar, Chopin, Marie-Charlotte, Gilbert, Marie, Lambert, Marc, Pokeerbux, Mohammad Ryadh, Danion, François, Hansmann, Yves, Rougier, Estelle, Ruch, Yvon, Stéphan, Dominique, Ursenbach, Axel, Connerade, Isabelle, Gravier, Simon, Kayser, Damien, Michel, Jean-Marc, Mohseni, Mahsa, Younes, Waël, Burlacu, Ruxandra, Lopes, Amanda, Mouly, Stéphane, Nassarmadji, Kladoum, Sène, Damien, Siguret, Virginie, Stepanian, Alain, Annweiler, Cédric, Brangier, Antoine, Dubee, Vincent, Henni, Samir, Hersant, Jeanne, Loison, Jocelyne, Kern, Léa, Laine, Jean-Baptiste, Neveux-Brecheteau, Claire, Perez, Lucia, Benainous, Ruben, Giroux-Leprieur, Bénédicte, Lopez-Sublet, Marilucy, Khaled-Jousselin, Saïda, Bernard, Yohann, Amiot, Amélie, Breistroff, Jessica, Detry, Emilie, Diallo, Kadidiatou, Didier, Agnès, Dumont, Nathalie, Egensperger, Julie, Emmerich, Aurélie, François, Nelly, Gallo, Fanny, George, Valérie, Gérome, Quentin, Gutehrle, Aurélie, Lehman, Laure, Petit, Séverine, Piard, Vanessa, Saint-Gilles, Maximilien, Terenzi, Olivier, Marquette, Amélie, Mortelette, Hélène, Audry, Mathilde, Cransac, Amélie, Maillard, Marine, Boyer, Anaïs, Gallo, Floriana, Urbing, Arielle, Zahaf, Imane, Byczko, Alexandra, Chaalal, Amina, Berlier, Georgette, Bernabe, Corinne, Bezzeghoud, Souad, Chaudier, Caroline, Chauvet, Carole, Davier, Marina, Labruyere, Carine, Perrin, Estelle, Pierre, Michaël, Chekirine, Claire-Annissa, Voivret, Florence, Meftali, Ramdane, Sabri, Ouaffa, Beulaygue, Anaïs, Gall, Julie, Girard, Laure, Haddaoui, Soumia, Rami, Scheherazade, Couderc, Auriane, Le Breton, Aude, Perruche, Marie-Line, Claudon, Cindy, Roussel, Ludivine, Barnier, Aude, Blanchard, Tiphaine, Le Gall, Bénédicte, Pelouin, Mélanie, Veillon, Anne-Sophie, Aquereburu, Quam, Delaygue, Charlène, Ait Idir, Zahoua, Drugeon, Jérémy, Dubrulle, Déborah, Tezkratt, Rabah, Frantz, Anne-Sophie, Drouaine, Julie, Dubois, Jacqueline, Eyriey, Magali, Haerrel, Elina, Beaudenon, Mélinda, Guenet, Mialy, Lecerf, Thibaud, Marechal-Girault, Stéphanie, Rehaiem, Sami, Simon, Romain, Dangeul-Potier, Florence, Goulvent, Morgane, Fliss, Souha, Messani, Fadhila, Mizejewski, Béatrice, Mugnier, Brigitte, Opderbeck, Valérie, Risse, Brigitte, Lefèvre, Benjamin, Sanchez, Olivier, Empis de Vendin, Ombeline, de Ciancio, Guillaume, Arlet, Jean-Benoît, Khider, Lina, Terriat, Béatrice, Greigert, Hélène, Robert, Céline S., Louis, Guillaume, Trinh-Duc, Albert, Rispal, Patrick, Accassat, Sandrine, Thiery, Guillaume, Montani, David, Azarian, Réza, Meneveau, Nicolas, Soudet, Simon, Le Mao, Raphaël, Maurier, François, Le Moing, Vincent, Quéré, Isabelle, Yelnik, Cécile M., Lefebvre, Nicolas, Martinot, Martin, Delrue, Maxime
Publikováno v:
In eClinicalMedicine June 2023 60
Using a trimming approach, we investigate a k-means type method based on Bregman divergences for clustering data possibly corrupted with clutter noise. The main interest of Bregman divergences is that the standard Lloyd algorithm adapts to these dist
Externí odkaz:
http://arxiv.org/abs/1812.04356
Autor:
Brécheteau, Claire, Levrard, Clément
Analyzing the sub-level sets of the distance to a compact sub-manifold of R d is a common method in TDA to understand its topology. The distance to measure (DTM) was introduced by Chazal, Cohen-Steiner and M{\'e}rigot in [7] to face the non-robustnes
Externí odkaz:
http://arxiv.org/abs/1801.10346
Autor:
Brécheteau, Claire
In this paper, we introduce the notion of DTM-signature, a measure on R + that can be associated to any metric-measure space. This signature is based on the distance to a measure (DTM) introduced by Chazal, Cohen-Steiner and M\'erigot. It leads to a
Externí odkaz:
http://arxiv.org/abs/1702.02838
Publikováno v:
ESAIM: Proceedings and Surveys
Journées MAS de la SMAI, édition 2021.
ESAIM: Proceedings and Surveys, EDP Sciences, In press
ESAIM: Proceedings and Surveys, In press
Journées MAS de la SMAI, édition 2021.
ESAIM: Proceedings and Surveys, EDP Sciences, In press
ESAIM: Proceedings and Surveys, In press
Some recent contributions to robust inference are presented. Firstly, the classical problem of robust M-estimation of a location parameter is revisited using an optimal transport approach-with specifically designed Wasserstein-type distances-that red
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::ddc68629d0f4e16842f07b0f1516c64f
https://hal.archives-ouvertes.fr/hal-03605702/file/Session_Robust_Learning_ESAIM_PROC.pdf
https://hal.archives-ouvertes.fr/hal-03605702/file/Session_Robust_Learning_ESAIM_PROC.pdf
Akademický článek
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Autor:
Brécheteau, Claire
Publikováno v:
Symposium on Computational Geometry
Symposium on Computational Geometry, Jun 2020, Zurich, Switzerland
Symposium on Computational Geometry, Jun 2020, Zurich, Switzerland
We consider robust power-distance functions that approximate the distance function to a compact set, from a noisy sample. We pay particular interest to robust power-distance functions that are anisotropic, in the sense that their sublevel sets are un
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b2a75e3255a66cd313521a9d8fd376b0
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
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Autor:
Brécheteau, Claire, Levrard, Clément
Analyzing the sub-level sets of the distance to a compact sub-manifold of R d is a common method in topological data analysis, to understand its topology. Therefore, topological inference procedures usually rely on a distance estimate based on n samp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______212::9121f82ffa7f452caf963b934a414c97
https://hal.archives-ouvertes.fr/hal-02266408/document
https://hal.archives-ouvertes.fr/hal-02266408/document