var bibbase_data = {"data":"\"Loading..\"\n\n
\n\n \n\n \n\n \n \n\n \n\n \n \n\n \n\n \n
\n generated by\n \n \"bibbase.org\"\n\n \n
\n \n\n
\n\n \n\n\n
\n\n Excellent! Next you can\n create a new website with this list, or\n embed it in an existing web page by copying & pasting\n any of the following snippets.\n\n
\n JavaScript\n (easiest)\n
\n \n <script src=\"https://bibbase.org/show?bib=http://www.cmap.polytechnique.fr/~lepennec/files/Bib/LePennecTalks.bib&jsonp=1&theme=simple&group0=year&filter=subject:eGMM&jsonp=1\"></script>\n \n
\n\n PHP\n
\n \n <?php\n $contents = file_get_contents(\"https://bibbase.org/show?bib=http://www.cmap.polytechnique.fr/~lepennec/files/Bib/LePennecTalks.bib&jsonp=1&theme=simple&group0=year&filter=subject:eGMM\");\n print_r($contents);\n ?>\n \n
\n\n iFrame\n (not recommended)\n
\n \n <iframe src=\"https://bibbase.org/show?bib=http://www.cmap.polytechnique.fr/~lepennec/files/Bib/LePennecTalks.bib&jsonp=1&theme=simple&group0=year&filter=subject:eGMM\"></iframe>\n \n
\n\n

\n For more details see the documention.\n

\n
\n
\n\n
\n\n This is a preview! To use this list on your own web site\n or create a new web site from it,\n create a free account. The file will be added\n and you will be able to edit it in the File Manager.\n We will show you instructions once you've created your account.\n
\n\n
\n\n

To the site owner:

\n\n

Action required! Mendeley is changing its\n API. In order to keep using Mendeley with BibBase past April\n 14th, you need to:\n

    \n
  1. renew the authorization for BibBase on Mendeley, and
  2. \n
  3. update the BibBase URL\n in your page the same way you did when you initially set up\n this page.\n
  4. \n
\n

\n\n

\n \n \n Fix it now\n

\n
\n\n
\n\n\n
\n \n \n
\n
\n  \n 2015\n \n \n (2)\n \n \n
\n
\n \n \n
\n \n\n \n \n \n \n \n \n Hyperspectral Image Segmentation by Spatialized Gaussian Mixtures and Model Selection.\n \n \n \n \n\n\n \n Le Pennec, E.; and Cohen, S.\n\n\n \n\n\n\n 05 2015.\n GdT ENS Ulm\n\n\n\n
\n\n\n\n \n \n \"Hyperspectral slides\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n
@Conference{ENS15,\n  author =\t {Le Pennec, Erwan and Cohen, Serge},\n  title =\t {Hyperspectral Image Segmentation by Spatialized Gaussian\n  Mixtures and Model Selection},\n  month =\t 05,\n  usera = 1,\n  year =\t 2015,\n  note =\t {GdT ENS Ulm},\n  keywords =\t {Expose, eGMM},\n  pubtype =\t {Exposé},\n  subject =\t {eGMM},\n  slides =       {eGMM/2015-05-ENS.pdf},\n  url_slides =       {http://lepennec.perso.math.cnrs.fr/Talk/eGMM/2015-05-ENS.pdf},\n  lang =\t {English},\n  fulllocation = {ENS Ulm, rue d'Ulm, Paris, France}\n}\n\n
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n \n Mixture of Gaussian Regressions with logistic weights and conditional density estimation.\n \n \n \n \n\n\n \n Le Pennec, E.; and Montuelle, L.\n\n\n \n\n\n\n 03 2015.\n ANR Calibration\n\n\n\n
\n\n\n\n \n \n \"Mixture slides\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n
@Conference{Nice15,\n  author =\t {Le Pennec, Erwan and Montuelle, Lucie},\n  title =\t {Mixture of Gaussian Regressions with logistic weights and\n  conditional density estimation},\n  month =\t 03,\n  usear =        1,\n  year =\t 2015,\n  note =\t {ANR Calibration},\n  keywords =\t {Expose, eGMM},\n  pubtype =\t {Exposé},\n  subject =\t {eGMM},\n  slides =       {eGMM/2015-02-Dauphine.pdf},\n  url_slides =       {http://lepennec.perso.math.cnrs.fr/Talk/eGMM/2015-02-Dauphine.pdf},\n  lang =\t {English},\n  fulllocation = {Université de Nice, Nice, France}  \n}\n\n\n%%% 2014\n
\n
\n\n\n\n
\n\n\n\n\n\n
\n
\n\n
\n
\n  \n 2014\n \n \n (6)\n \n \n
\n
\n \n \n
\n \n\n \n \n \n \n \n \n Hyperspectral Image Segmentation by Spatialized Gaussian Mixtures and Model Selection.\n \n \n \n \n\n\n \n Le Pennec, E.; and Cohen, S.\n\n\n \n\n\n\n 12 2014.\n Sem. IMB\n\n\n\n
\n\n\n\n \n \n \"Hyperspectral slides\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n
@Conference{IMB14,\n  author =\t {Le Pennec, Erwan and Cohen, Serge},\n  title =\t {Hyperspectral Image Segmentation by Spatialized Gaussian\n  Mixtures and Model Selection},\n  month =\t 12,\n  usera = 3,\n  year =\t 2014,\n  note =\t {Sem. IMB},\n  keywords =\t {Expose, eGMM},\n  pubtype =\t {Exposé},\n  subject =\t {eGMM},\n  slides =       {eGMM/2014-12-3-IMB.pdf},\n  url_slides =       {http://lepennec.perso.math.cnrs.fr/Talk/eGMM/2014-12-3-IMB.pdf},\n  lang =\t {English},\n  fulllocation = {Université Bordeaux, place de la Victoire, Bordeaux, France}\n}\n\n
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n \n Hyperspectral Image Segmentation by Spatialized Gaussian Mixtures and Model Selection.\n \n \n \n \n\n\n \n Le Pennec, E.; and Cohen, S.\n\n\n \n\n\n\n 12 2014.\n Colloquium MAP5\n\n\n\n
\n\n\n\n \n \n \"Hyperspectral slides\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n
@Conference{MAP514,\n  author =\t {Le Pennec, Erwan and Cohen, Serge},\n  title =\t {Hyperspectral Image Segmentation by Spatialized Gaussian\n  Mixtures and Model Selection},\n  month =\t 12,\n  usera = 1,\n  year =\t 2014,\n  note =\t {Colloquium MAP5},\n  keywords =\t {Expose, eGMM},\n  pubtype =\t {Exposé},\n  subject =\t {eGMM},\n  slides =       {eGMM/2014-12-1-Descartes.pdf},\n  url_slides =       {http://lepennec.perso.math.cnrs.fr/Talk/eGMM/2014-12-1-Descartes.pdf},\n  lang =\t {English},\n  fulllocation = {Université Paris Descartes, rue des Saints-Pères, Paris, France}\n}\n\n\n
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n \n Non-supervised hyperspectral image segmentation, a conditional density approach.\n \n \n \n \n\n\n \n Le Pennec, E.; and Cohen, S.\n\n\n \n\n\n\n 05 2014.\n Daspac\n\n\n\n
\n\n\n\n \n \n \"Non-supervised slides\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n
@Conference{Daspac14,\n  author =\t {Le Pennec, Erwan and Cohen, Serge},\n  title =\t {Non-supervised hyperspectral image segmentation, a conditional density approach},\n  month =\t 05,\n  year =\t 2014,\n  note =\t {Daspac},\n  keywords =\t {Expose, eGMM},\n  pubtype =\t {Exposé},\n  subject =\t {eGMM},\n  slides =       {eGMM/2014-05-Daspac.pdf},\n  url_slides =       {http://lepennec.perso.math.cnrs.fr/Talk/eGMM/2014-05-Daspac.pdf},\n  lang =\t {English},\n  fulllocation = {Université Paris Diderot, Paris, France}\n}\n\n
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n \n Mixture of Gaussian Regressions with logistic weights and conditional density estimation.\n \n \n \n \n\n\n \n Le Pennec, E.; and Montuelle, L.\n\n\n \n\n\n\n 03 2014.\n Alea (CMAP)\n\n\n\n
\n\n\n\n \n \n \"Mixture slides\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n
@Conference{Alea14,\n  author =\t {Le Pennec, Erwan and Montuelle, Lucie},\n  title =\t {Mixture of Gaussian Regressions with logistic weights and\n  conditional density estimation},\n  month =\t 03,\n  usera =        2,\n  year =\t 2014,\n  note =\t {Alea (CMAP)},\n  keywords =\t {Expose, eGMM},\n  pubtype =\t {Exposé},\n  subject =\t {eGMM},\n  slides =       {eGMM/2014-03-Alea.pdf},\n  url_slides =       {http://lepennec.perso.math.cnrs.fr/Talk/eGMM/2014-03-Alea.pdf},\n  lang =\t {English},\n  fulllocation = {École polytechnique, Palaiseau, France}\n}\n\n
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n \n Mixture of Gaussian Regressions with logistic weights and conditional density estimation.\n \n \n \n \n\n\n \n Le Pennec, E.; and Montuelle, L.\n\n\n \n\n\n\n 03 2014.\n Sem. Dauphine\n\n\n\n
\n\n\n\n \n \n \"Mixture slides\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n
@Conference{Dauphine14,\n  author =\t {Le Pennec, Erwan and Montuelle, Lucie},\n  title =\t {Mixture of Gaussian Regressions with logistic weights and\n  conditional density estimation},\n  month =\t 03,\n  usear =        1,\n  year =\t 2014,\n  note =\t {Sem. Dauphine},\n  keywords =\t {Expose, eGMM},\n  pubtype =\t {Exposé},\n  subject =\t {eGMM},\n  slides =       {eGMM/2014-03-Dauphine.pdf},\n  url_slides =       {http://lepennec.perso.math.cnrs.fr/Talk/eGMM/2014-03-Dauphine.pdf},\n  lang =\t {English},\n  fulllocation = {Université Paris Dauphine, Paris, France}  \n}\n\n
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n \n Hyperspectral Image Segmentation by Spatialized Gaussian Mixtures and Model Selection.\n \n \n \n \n\n\n \n Le Pennec, E.; and Cohen, S.\n\n\n \n\n\n\n 01 2014.\n Sem. CMLA\n\n\n\n
\n\n\n\n \n \n \"Hyperspectral slides\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n
@Conference{Cachan14,\n  author =\t {Le Pennec, Erwan and Cohen, Serge},\n  title =\t {Hyperspectral Image Segmentation by Spatialized Gaussian\n  Mixtures and Model Selection},\n  month =\t 01,\n  year =\t 2014,\n  note =\t {Sem. CMLA},\n  keywords =\t {Expose, eGMM},\n  pubtype =\t {Exposé},\n  subject =\t {eGMM},\n  slides =       {eGMM/2014-01-Cachan.pdf},\n  url_slides =       {http://lepennec.perso.math.cnrs.fr/Talk/eGMM/2014-01-Cachan.pdf},\n  lang =\t {English},\n  fulllocation = {E.N.S., Cachan, France}\n}\n\n%%% 2013\n
\n
\n\n\n\n
\n\n\n\n\n\n
\n
\n\n
\n
\n  \n 2013\n \n \n (5)\n \n \n
\n
\n \n \n
\n \n\n \n \n \n \n \n \n Hyperspectral Image Segmentation by Spatialized Gaussian Mixtures and Model Selection.\n \n \n \n \n\n\n \n Le Pennec, E.; and Cohen, S.\n\n\n \n\n\n\n 06 2013.\n GdT Neurospin/Select\n\n\n\n
\n\n\n\n \n \n \"Hyperspectral slides\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n
@Conference{Neurospin13,\n  author =\t {Le Pennec, Erwan and Cohen, Serge},\n  title =\t {Hyperspectral Image Segmentation by Spatialized Gaussian\n  Mixtures and Model Selection},\n  month =\t 06,\n  year =\t 2013,\n  note =\t {GdT Neurospin/Select},\n  keywords =\t {Expose, eGMM},\n  pubtype =\t {Exposé},\n  subject =\t {eGMM},\n  slides =       {eGMM/2013-06-Neurospin.pdf},\n  url_slides =       {http://lepennec.perso.math.cnrs.fr/Talk/eGMM/2013-06-Neurospin.pdf},\n  lang =\t {English},\n  fulllocation = {CEA, Saclay, France}\n}\n\n
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n \n Hyperspectral Image Segmentation by Spatialized Gaussian Mixtures and Model Selection.\n \n \n \n \n\n\n \n Le Pennec, E.; and Cohen, S.\n\n\n \n\n\n\n 05 2013.\n SMAI 2013\n\n\n\n
\n\n\n\n \n \n \"Hyperspectral slides\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n
@Conference{SMAI13,\n  author =\t {Le Pennec, Erwan and Cohen, Serge},\n  title =\t {Hyperspectral Image Segmentation by Spatialized Gaussian\n  Mixtures and Model Selection},\n  month =\t 05,\n  year =\t 2013,\n  note =\t {SMAI 2013},\n  keywords =\t {NatlConf, eGMM},\n  pubtype =\t {Conférence nationale},\n  subject =\t {eGMM},\n  slides =       {eGMM/2013-05-SMAI13.pdf},\n  url_slides =       {http://lepennec.perso.math.cnrs.fr/Talk/eGMM/2013-05-SMAI13.pdf},\n  lang =\t {English},\n  fulllocation = {Seignosse, France}\n}\n\n
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n \n Some (statistical) applications of Ockham's principle.\n \n \n \n \n\n\n \n Le Pennec, E.; and Cohen, S.\n\n\n \n\n\n\n 03 2013.\n HdR, Paris Sud\n\n\n\n
\n\n\n\n \n \n \"Some slides\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n
@Conference{HdR13,\n  author =\t {Le Pennec, Erwan and Cohen, Serge},\n  title =\t {Some (statistical) applications of Ockham's principle},\n  month =\t 03,\n  usera =        3,\n  year =\t 2013,\n  note =\t {HdR, Paris Sud},\n  keywords =\t {Expose, eGMM,Needlet,L1,Maxiset,Bandlets},\n  pubtype =\t {Exposé},\n  subject =\t {eGMM,Needlet,L1,Maxisets,Bandlets},\n  slides =       {HdR/2013-03-HdR.pdf},\n  url_slides =       {http://lepennec.perso.math.cnrs.fr/Talk/HdR/2013-03-HdR.pdf},\n  lang =\t {English},\n  fulllocation = {Université Paris Sud, Orsay, France}\n}\n\n
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n \n Hyperspectral Image Segmentation by Spatialized Gaussian Mixtures and Model Selection.\n \n \n \n \n\n\n \n Le Pennec, E.; and Cohen, S.\n\n\n \n\n\n\n 03 2013.\n Séminaire, CMAP\n\n\n\n
\n\n\n\n \n \n \"Hyperspectral slides\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n
@Conference{CMAP13,\n  author =\t {Le Pennec, Erwan and Cohen, Serge},\n  title =\t {Hyperspectral Image Segmentation by Spatialized Gaussian\n  Mixtures and Model Selection},\n  month =\t 03,\n  usera =        2,\n  year =\t 2013,\n  note =\t {Séminaire, CMAP},\n  keywords =\t {Expose, eGMM},\n  pubtype =\t {Exposé},\n  subject =\t {eGMM},\n  slides =       {eGMM/2013-03-CMAP.pdf},\n  url_slides =       {http://lepennec.perso.math.cnrs.fr/Talk/eGMM/2013-03-CMAP.pdf},\n  lang =\t {English},\n  fulllocation = {École polytechnique, Palaiseau, France}\n}\n\n
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n \n Hyperspectral Image Segmentation by Spatialized Gaussian Mixtures and Model Selection.\n \n \n \n \n\n\n \n Le Pennec, E.; and Cohen, S.\n\n\n \n\n\n\n 03 2013.\n Statistical Image Analysis, Santa Fe\n\n\n\n
\n\n\n\n \n \n \"Hyperspectral slides\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n
@Conference{SIAFE13,\n  author =\t {Le Pennec, Erwan and Cohen, Serge},\n  title =\t {Hyperspectral Image Segmentation by Spatialized Gaussian\n  Mixtures and  Model Selection},\n  month =\t 03,\n  usera =        1,\n  year =\t 2013,\n  note =\t {Statistical Image Analysis, Santa Fe},\n  keywords =\t {IntlConf, eGMM},\n  pubtype =\t {International conference},\n  subject =\t {eGMM},\n  slides =       {eGMM/2013-03-SantaFe.pdf},\n  url_slides =       {http://lepennec.perso.math.cnrs.fr/Talk/eGMM/2013-03-SantaFe.pdf},\n  lang =\t {English},\n  fulllocation = {Santa Fe, New Mexico, USA}\n}\n\n\n%%% 2012\n
\n
\n\n\n\n
\n\n\n\n\n\n
\n
\n\n
\n
\n  \n 2012\n \n \n (2)\n \n \n
\n
\n \n \n
\n \n\n \n \n \n \n \n \n Unsupervised hyperspectral image segmentation, conditional density estimation and penalized maximum likelihood model selection.\n \n \n \n \n\n\n \n Le Pennec, E.; and Cohen, S.\n\n\n \n\n\n\n 03 2012.\n CLAPEM XII, Viña del Mar\n\n\n\n
\n\n\n\n \n \n \"Unsupervised slides\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n
@Conference{le12:_unsup,\n  author =\t {Le Pennec, Erwan and Cohen, Serge},\n  title =\t {Unsupervised hyperspectral image segmentation, conditional density estimation and penalized maximum likelihood model selection},\n  month =\t 03,\n  usera =\t 2,\n  year =\t 2012,\n  note =\t {CLAPEM XII, Viña del Mar},\n  keywords =\t {IntlConf, eGMM},\n  pubtype =\t {International conference},\n  subject =\t {eGMM},\n  slides =\t {eGMM/2012-03-2-CLAPEMXII.pdf},\n  url_slides =       {http://lepennec.perso.math.cnrs.fr/Talk/eGMM/2012-03-2-CLAPEMXII.pdf},\n  lang =\t {English},\n  fulllocation = {Viña del Mar, Chile}\n}\n\n
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n \n Conditional density estimation by penalized maximum likelihood model selection.\n \n \n \n \n\n\n \n Le Pennec, E.; and Cohen, S.\n\n\n \n\n\n\n 03 2012.\n III Symposium of Statistical Modeling, Valparaiso\n\n\n\n
\n\n\n\n \n \n \"Conditional slides\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n
@Conference{le12:_condit,\n  author =\t {Le Pennec, Erwan and Cohen, Serge},\n  title =\t {Conditional density estimation by penalized maximum likelihood\n  model selection},\n  month =\t 03,\n  usera =\t 1,\n  year =\t 2012,\n  note =\t {III Symposium of Statistical Modeling, Valparaiso},\n  keywords =\t {IntlConf, eGMM},\n  pubtype =\t {International conference},\n  subject =\t {eGMM},\n  slides =\t {eGMM/2012-03-1-Valparaiso.pdf},\n  url_slides =       {http://lepennec.perso.math.cnrs.fr/Talk/eGMM/2012-03-1-Valparaiso.pdf},\n  lang =\t {English},\n  fulllocation = {Universidad de Valparaiso, Valparaiso, Chile}\n}\n\n\n%%% 2011\n
\n
\n\n\n\n
\n\n\n\n\n\n
\n
\n\n
\n
\n  \n 2011\n \n \n (6)\n \n \n
\n
\n \n \n
\n \n\n \n \n \n \n \n \n Hyperspectral Image Segmentation by Spatialized Gaussian Mixtures and Model Selection.\n \n \n \n \n\n\n \n Le Pennec, E.; and Cohen, S.\n\n\n \n\n\n\n 11 2011.\n Marseille\n\n\n\n
\n\n\n\n \n \n \"Hyperspectral slides\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n
@Conference{le11:_hyper_image_segmen_spatial_gauss,\n  author =\t {Le Pennec, Erwan and Cohen, Serge},\n  title =\t {Hyperspectral Image Segmentation by Spatialized Gaussian\n  Mixtures and Model Selection},\n  month =\t 11,\n  usera =\t 2,\n  year =\t 2011,\n  note =\t {Marseille},\n  keywords =\t {IntlConf, eGMM},\n  pubtype =\t {International conference},\n  subject =\t {eGMM},\n  slides =\t {eGMM/2011-11-2-Marseille.pdf},\n  url_slides =       {http://lepennec.perso.math.cnrs.fr/Talk/eGMM/2011-11-2-Marseille.pdf},\n  lang =\t {English},\n  fulllocation = {CIRM, Luminy, Marseille, France}\n}\n
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n \n Autour de deux problèmes d'optimisation en estimation statistique.\n \n \n \n \n\n\n \n Le Pennec, E.; and Cohen, S.\n\n\n \n\n\n\n 11 2011.\n Avignon\n\n\n\n
\n\n\n\n \n \n \"Autour slides\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n
@Conference{le11:_autour,\n  author =\t {Le Pennec, Erwan and Cohen, Serge},\n  title =\t {Autour de deux problèmes d'optimisation en estimation\n  statistique},\n  month =\t 11,\n  usera =\t 1,\n  year =\t 2011,\n  note =\t {Avignon},\n  keywords =\t {Expose, eGMM},\n  pubtype =\t {Exposé},\n  subject =\t {eGMM},\n  slides =\t {eGMM/2011-11-1-Avignon.pdf},\n  url_slides =       {http://lepennec.perso.math.cnrs.fr/Talk/eGMM/2011-11-1-Avignon.pdf},\n  lang =\t {Francais},\n  fulllocation = {Université d'Avignon, Avignon, France}\n}\n
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n \n Segmentation non supervisée d'image hyperspectrale par mélange de gausienne spatialisé.\n \n \n \n \n\n\n \n Le Pennec, E.; and Cohen, S.\n\n\n \n\n\n\n 09 2011.\n GRETSI11, Bordeaux\n\n\n\n
\n\n\n\n \n \n \"Segmentation slides\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n
@Conference{le11:_segmen_e3,\n  author =\t {Le Pennec, Erwan and Cohen, Serge},\n  title =\t {Segmentation non supervisée d'image hyperspectrale par mélange de gausienne spatialisé},\n  month =\t 09,\n  year =\t 2011,\n  usera =\t 1,\n  note =\t {GRETSI11, Bordeaux},\n  keywords =\t {ConfNatAvecActes, eGMM},\n  pubtype =\t {Conférence nationale avec actes},\n  subject =\t {eGMM},\n  slides =\t {eGMM/2011-09-GRETSI11.pdf},\n  url_slides =       {http://lepennec.perso.math.cnrs.fr/Talk/eGMM/2011-09-GRETSI11.pdf},\n  lang =\t {Francais},\n  fulllocation = {Université Bordeaux 1, Bordeaux, France}\n}\n\n
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n \n Segmentation non supervisée, mélange de gaussiennes et algorithme E.M.\n \n \n \n \n\n\n \n Le Pennec, E.; and Cohen, S.\n\n\n \n\n\n\n 06 2011.\n Journées conjointes GDR MOA et GDR MSPC\n\n\n\n
\n\n\n\n \n \n \"Segmentation slides\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n
@Conference{le11:_segmen_e2,\n  author =\t {Le Pennec, Erwan and Cohen, Serge},\n  title =\t {Segmentation non supervisée, mélange de gaussiennes\n                  et algorithme E.M.},\n  month =\t 06,\n  year =\t 2011,\n  usera =\t 1,\n  note =\t {Journées conjointes GDR MOA et GDR MSPC},\n  keywords =\t {ConfNat, eGMM},\n  pubtype =\t {Conférence nationale},\n  subject =\t {eGMM},\n  slides =\t {eGMM/2011-06-LaLonde.pdf},\n  url_slides =       {http://lepennec.perso.math.cnrs.fr/Talk/eGMM/2011-06-LaLonde.pdf},\n  lang =\t {Francais},\n  fulllocation = {La Londe, Var, France}\n}\n\n
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n \n Estimation de densités conditionnelles par sélection de modèles et application à la segmentation d'images hyperspectrales.\n \n \n \n \n\n\n \n Le Pennec, E.; and Cohen, S.\n\n\n \n\n\n\n 02 2011.\n Modal'X, Nanterre\n\n\n\n
\n\n\n\n \n \n \"Estimation slides\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n
@Conference{le11:_estim2,\n  author =\t {Le Pennec, Erwan and Cohen, Serge},\n  title =\t {Estimation de densités conditionnelles par sélection\n                  de modèles et application à la segmentation d'images\n                  hyperspectrales},\n  month =\t 02,\n  usera =\t 1,\n  year =\t 2011,\n  note =\t {Modal'X, Nanterre},\n  keywords =\t {Expose, eGMM},\n  pubtype =\t {Exposé},\n  subject =\t {eGMM},\n  slides =\t {eGMM/2011-02-Nanterre.pdf},\n  url_slides =       {http://lepennec.perso.math.cnrs.fr/Talk/eGMM/2011-02-Nanterre.pdf},\n  lang =\t {Francais},\n  fulllocation = {Université Nanterre Paris Ouest, Nanterre, France}\n}\n\n
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n \n Estimation de densités conditionnelles par sélection de modèles et application à la segmentation d'images hyperspectrales.\n \n \n \n \n\n\n \n Le Pennec, E.; and Cohen, S.\n\n\n \n\n\n\n 01 2011.\n IECN, Nancy\n\n\n\n
\n\n\n\n \n \n \"Estimation slides\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n
@Conference{le11:_estim,\n  author =\t {Le Pennec, Erwan and Cohen, Serge},\n  title =\t {Estimation de densités conditionnelles par sélection\n                  de modèles et application à la segmentation d'images\n                  hyperspectrales},\n  month =\t 01,\n  usera =\t 1,\n  year =\t 2011,\n  note =\t {IECN, Nancy},\n  keywords =\t {Expose, eGMM},\n  pubtype =\t {Exposé},\n  subject =\t {eGMM},\n  slides =\t {eGMM/2011-01-Nancy.pdf},\n  url_slides =       {http://lepennec.perso.math.cnrs.fr/Talk/eGMM/2011-01-Nancy.pdf},\n  lang =\t {Francais},\n  fulllocation = {Université de Nancy 1, Nancy, France}\n}\n\n%%% 2010\n\n
\n
\n\n\n\n
\n\n\n\n\n\n
\n
\n\n
\n
\n  \n 2010\n \n \n (7)\n \n \n
\n
\n \n \n
\n \n\n \n \n \n \n \n \n Estimation de densités conditionnelles par sélection de modèles et application à la segmentation d'images hyperspectrales.\n \n \n \n \n\n\n \n Le Pennec, E.; and Cohen, S.\n\n\n \n\n\n\n 12 2010.\n IMT, Marseille\n\n\n\n
\n\n\n\n \n \n \"Estimation slides\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n
@Conference{le10:_estim,\n  author =\t {Le Pennec, Erwan and Cohen, Serge},\n  title =\t {Estimation de densités conditionnelles par sélection\n                  de modèles et application à la segmentation d'images\n                  hyperspectrales},\n  month =\t 12,\n  usera =\t 3,\n  year =\t 2010,\n  note =\t {IMT, Marseille},\n  keywords =\t {Expose, eGMM},\n  pubtype =\t {Exposé},\n  subject =\t {eGMM},\n  slides =\t {eGMM/2010-12-3-Marseille.pdf},\n  url_slides =       {http://lepennec.perso.math.cnrs.fr/Talk/eGMM/2010-12-3-Marseille.pdf},\n  lang =\t {Francais},\n  fulllocation = {IMT, Université Marseille, Marseille, France}\n}\n\n
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n \n Estimation de densités conditionnelles par sélection de modèles et application à la segmentation d'images hyperspectrales.\n \n \n \n \n\n\n \n Le Pennec, E.; and Cohen, S.\n\n\n \n\n\n\n 11 2010.\n Séminaire Parisien de Statistique\n\n\n\n
\n\n\n\n \n \n \"Estimation slides\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n
@Conference{le10:_estim2,\n  author =\t {Le Pennec, Erwan and Cohen, Serge},\n  title =\t {Estimation de densités conditionnelles par sélection\n                  de modèles et application à la segmentation d'images\n                  hyperspectrales},\n  month =\t 11,\n  usera =\t 2,\n  year =\t 2010,\n  note =\t {Séminaire Parisien de Statistique},\n  keywords =\t {Expose, eGMM},\n  pubtype =\t {Exposé},\n  subject =\t {eGMM},\n  slides =\t {eGMM/2010-11-2-SemStat.pdf},\n  url_slides =       {http://lepennec.perso.math.cnrs.fr/Talk/eGMM/2010-11-2-SemStat.pdf},\n  lang =\t {Francais},\n  fulllocation = {Institut Henri Poincaré, Paris, France}\n}\n\n
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n \n Segmentation d'images hyperspectrales par mélange de gaussiennes et sélection de modèles.\n \n \n \n \n\n\n \n Le Pennec, E.; and Cohen, S.\n\n\n \n\n\n\n 10 2010.\n GTOX\n\n\n\n
\n\n\n\n \n \n \"Segmentation slides\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n
@Conference{le10:_segmen4,\n  author =\t {Le Pennec, Erwan and Cohen, Serge},\n  title =\t {Segmentation d'images hyperspectrales par mélange de\n                  gaussiennes et sélection de modèles},\n  month =\t 10,\n  usera =\t 2,\n  year =\t 2010,\n  note =\t {GTOX},\n  keywords =\t {Expose, eGMM},\n  pubtype =\t {Exposé},\n  subject =\t {eGMM},\n  slides =\t {eGMM/2010-10-2-GTOX.pdf},\n  url_slides =       {http://lepennec.perso.math.cnrs.fr/Talk/eGMM/2010-10-2-GTOX.pdf},\n  lang =\t {Francais},\n  fulllocation = {École polytechnique, Palaiseau, France}\n}\n\n
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n \n Segmentation d'images hyperspectrales par mélange de gaussiennes et sélection de modèles.\n \n \n \n \n\n\n \n Le Pennec, E.; and Cohen, S.\n\n\n \n\n\n\n 10 2010.\n Geometrica\n\n\n\n
\n\n\n\n \n \n \"Segmentation slides\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n
@Conference{le10:_segmen3,\n  author =\t {Le Pennec, Erwan and Cohen, Serge},\n  title =\t {Segmentation d'images hyperspectrales par mélange de\n                  gaussiennes et sélection de modèles},\n  month =\t 10,\n  year =\t 2010,\n  usera =\t 1,\n  note =\t {Geometrica},\n  keywords =\t {Expose, eGMM},\n  pubtype =\t {Exposé},\n  subject =\t {eGMM},\n  slides =\t {eGMM/2010-10-1-Geometrica.pdf},\n  url_slides =       {http://lepennec.perso.math.cnrs.fr/Talk/eGMM/2010-10-1-Geometrica.pdf},\n  lang =\t {Francais},\n  fulllocation = {Parc Club, Orsay, France}\n}\n\n
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n \n Segmentation d'images hyperspectrales par mélange de gaussiennes et sélection de modèles.\n \n \n \n \n\n\n \n Le Pennec, E.; and Cohen, S.\n\n\n \n\n\n\n 09 2010.\n Orsay\n\n\n\n
\n\n\n\n \n \n \"Segmentation slides\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n
@Conference{le10:_segmen2,\n  author =\t {Le Pennec, Erwan and Cohen, Serge},\n  title =\t {Segmentation d'images hyperspectrales par mélange de\n                  gaussiennes et sélection de modèles},\n  month =\t 09,\n  year =\t 2010,\n  note =\t {Orsay},\n  keywords =\t {Expose, eGMM},\n  pubtype =\t {Exposé},\n  subject =\t {eGMM},\n  slides =\t {eGMM/2010-09-Orsay.pdf},\n  url_slides =       {http://lepennec.perso.math.cnrs.fr/Talk/eGMM/2010-09-Orsay.pdf},\n  lang =\t {Francais},\n  fulllocation = {Université Paris Sud, Orsay, France}   \n}\n\n
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n \n Segmentation d'images hyperspectrales par mélange de gaussiennes et sélection de modèles.\n \n \n \n \n\n\n \n Le Pennec, E.; and Cohen, S.\n\n\n \n\n\n\n 03 2010.\n ENSAE\n\n\n\n
\n\n\n\n \n \n \"Segmentation slides\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n
@Conference{le10:_segmen1,\n  author =\t {Le Pennec, Erwan and Cohen, Serge},\n  title =\t {Segmentation d'images hyperspectrales par mélange de\n                  gaussiennes et sélection de modèles},\n  month =\t 03,\n  year =\t 2010,\n  note =\t {ENSAE},\n  keywords =\t {Expose, eGMM},\n  pubtype =\t {Exposé},\n  subject =\t {eGMM},\n  slides =\t {eGMM/2010-03-ENSAE.pdf},\n  url_slides =       {http://lepennec.perso.math.cnrs.fr/Talk/eGMM/2010-03-ENSAE.pdf},\n  lang =\t {Francais},\n  fulllocation = {ENSAE, Malakoff, France}\n}\n\n
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n \n Segmentation d'images hyperspectrales.\n \n \n \n \n\n\n \n Le Pennec, E.; and Cohen, S.\n\n\n \n\n\n\n 02 2010.\n GTOX\n\n\n\n
\n\n\n\n \n \n \"Segmentation slides\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n
@Conference{le10:_segmen,\n  author =\t {Le Pennec, Erwan and Cohen, Serge},\n  title =\t {Segmentation d'images hyperspectrales},\n  month =\t 02,\n  year =\t 2010,\n  note =\t {GTOX},\n  keywords =\t {Expose, eGMM},\n  pubtype =\t {Exposé},\n  subject =\t {eGMM},\n  slidesnote =\t {eGMM/2010-02-GTOX.pdf},\n  url_slides =       {http://lepennec.perso.math.cnrs.fr/Talk/eGMM/2010-02-GTOX.pdf},\n  lang =\t {Francais},\n  fulllocation = {École polytechnique, Palaiseau, France}\n}\n\n%%% 2009\n\n
\n
\n\n\n\n
\n\n\n\n\n\n
\n
\n\n\n\n\n
\n\n\n \n\n \n \n \n \n\n
\n"}; document.write(bibbase_data.data);