<?xml version="1.0" encoding="utf-8"?>
<TEI xmlns="http://www.tei-c.org/ns/1.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:hal="http://hal.archives-ouvertes.fr/" xmlns:gml="http://www.opengis.net/gml/3.3/" xmlns:gmlce="http://www.opengis.net/gml/3.3/ce" version="1.1" xsi:schemaLocation="http://www.tei-c.org/ns/1.0 http://api.archives-ouvertes.fr/documents/aofr-sword.xsd">
  <teiHeader>
    <fileDesc>
      <titleStmt>
        <title>HAL TEI export of hal-01329195v2</title>
      </titleStmt>
      <publicationStmt>
        <distributor>CCSD</distributor>
        <availability status="restricted">
          <licence target="https://creativecommons.org/publicdomain/zero/1.0/">CC0 1.0 - Universal</licence>
        </availability>
        <date when="2026-05-21T16:34:54+02:00"/>
      </publicationStmt>
      <sourceDesc>
        <p part="N">HAL API Platform</p>
      </sourceDesc>
    </fileDesc>
  </teiHeader>
  <text>
    <body>
      <listBibl>
        <biblFull>
          <titleStmt>
            <title xml:lang="en">Sketching for Large-Scale Learning of Mixture Models</title>
            <author role="aut">
              <persName>
                <forename type="first">Nicolas</forename>
                <surname>Keriven</surname>
              </persName>
              <email type="md5">fb84266a29a185392c998b2b5317f7e7</email>
              <email type="domain">cnrs.fr</email>
              <idno type="idhal" notation="string">nicolas-keriven</idno>
              <idno type="idhal" notation="numeric">4423</idno>
              <idno type="halauthorid" notation="string">25971-4423</idno>
              <idno type="IDREF">https://www.idref.fr/223562270</idno>
              <idno type="ORCID">https://orcid.org/0000-0002-3846-8763</idno>
              <idno type="VIAF">https://viaf.org/viaf/120151836552920401906</idno>
              <idno type="GOOGLE SCHOLAR">https://scholar.google.fr/citations?user=aNYFO8sAAAAJ</idno>
              <affiliation ref="#struct-105160"/>
              <affiliation ref="#struct-491299"/>
            </author>
            <author role="aut">
              <persName>
                <forename type="first">Anthony</forename>
                <surname>Bourrier</surname>
              </persName>
              <email type="md5">2e5d96c439df8a9909f131ee7111bacf</email>
              <email type="domain">gmail.com</email>
              <idno type="idhal" notation="string">anthony-bourrier</idno>
              <idno type="idhal" notation="numeric">140</idno>
              <idno type="halauthorid" notation="string">23205-140</idno>
              <affiliation ref="#struct-1042684"/>
            </author>
            <author role="aut">
              <persName>
                <forename type="first">Rémi</forename>
                <surname>Gribonval</surname>
              </persName>
              <email type="md5">28c131b4344cc94988a498501f1f493a</email>
              <email type="domain">inria.fr</email>
              <idno type="idhal" notation="string">remi-gribonval</idno>
              <idno type="idhal" notation="numeric">1255</idno>
              <idno type="halauthorid" notation="string">19036-1255</idno>
              <idno type="ORCID">https://orcid.org/0000-0002-9450-8125</idno>
              <idno type="IDREF">https://www.idref.fr/113181590</idno>
              <orgName ref="#struct-300009"/>
              <affiliation ref="#struct-491299"/>
            </author>
            <author role="aut">
              <persName>
                <forename type="first">Patrick</forename>
                <surname>Pérez</surname>
              </persName>
              <email type="md5">3df527186b29bf63b35c10f5a1e4ad4e</email>
              <email type="domain">toulouse.archi.fr</email>
              <idno type="idhal" notation="numeric">1022281</idno>
              <idno type="halauthorid" notation="string">33333-1022281</idno>
              <affiliation ref="#struct-117468"/>
            </author>
            <editor role="depositor">
              <persName>
                <forename>Nicolas</forename>
                <surname>Keriven</surname>
              </persName>
              <email type="md5">fb84266a29a185392c998b2b5317f7e7</email>
              <email type="domain">cnrs.fr</email>
            </editor>
            <funder ref="#projeurop-87088"/>
          </titleStmt>
          <editionStmt>
            <edition n="v1">
              <date type="whenSubmitted">2016-06-08 18:16:42</date>
            </edition>
            <edition n="v2" type="current">
              <date type="whenSubmitted">2017-05-05 11:07:48</date>
              <date type="whenModified">2026-05-05 15:51:59</date>
              <date type="whenReleased">2017-05-09 09:17:58</date>
              <date type="whenProduced">2018-09-19</date>
              <date type="whenEndEmbargoed">2017-05-05</date>
              <ref type="file" target="https://inria.hal.science/hal-01329195v2/document">
                <date notBefore="2017-05-05"/>
              </ref>
              <ref type="file" subtype="author" n="1" target="https://inria.hal.science/hal-01329195v2/file/paper.pdf" id="file-1518691-1580742">
                <date notBefore="2017-05-05"/>
              </ref>
              <ref type="externalLink" target="http://arxiv.org/pdf/1606.02838"/>
            </edition>
            <respStmt>
              <resp>contributor</resp>
              <name key="317025">
                <persName>
                  <forename>Nicolas</forename>
                  <surname>Keriven</surname>
                </persName>
                <email type="md5">fb84266a29a185392c998b2b5317f7e7</email>
                <email type="domain">cnrs.fr</email>
              </name>
            </respStmt>
          </editionStmt>
          <publicationStmt>
            <distributor>CCSD</distributor>
            <idno type="halId">hal-01329195</idno>
            <idno type="halUri">https://inria.hal.science/hal-01329195</idno>
            <idno type="halBibtex">keriven:hal-01329195</idno>
            <idno type="halRefHtml">&lt;i&gt;Information and Inference&lt;/i&gt;, 2018, 7 (3), pp.447-508. &lt;a target="_blank" href="https://dx.doi.org/10.1093/imaiai/iax015"&gt;&amp;#x27E8;10.1093/imaiai/iax015&amp;#x27E9;&lt;/a&gt;</idno>
            <idno type="halRef">Information and Inference, 2018, 7 (3), pp.447-508. &amp;#x27E8;10.1093/imaiai/iax015&amp;#x27E9;</idno>
            <availability status="restricted">
              <licence target="https://about.hal.science/hal-authorisation-v1/">HAL Authorization<ref corresp="#file-1518691-1580742"/></licence>
            </availability>
          </publicationStmt>
          <seriesStmt>
            <idno type="stamp" n="UNIV-RENNES1">Université de Rennes 1</idno>
            <idno type="stamp" n="UGA">HAL Grenoble Alpes</idno>
            <idno type="stamp" n="CNRS">CNRS - Centre national de la recherche scientifique</idno>
            <idno type="stamp" n="INRIA">INRIA - Institut National de Recherche en Informatique et en Automatique</idno>
            <idno type="stamp" n="UNIV-UBS">Université de Bretagne Sud</idno>
            <idno type="stamp" n="INSA-RENNES">Institut National des Sciences Appliquées de Rennes</idno>
            <idno type="stamp" n="INPG">Institut polytechnique de Grenoble</idno>
            <idno type="stamp" n="INRIA-RENNES">INRIA Rennes - Bretagne Atlantique</idno>
            <idno type="stamp" n="IRISA">Irisa</idno>
            <idno type="stamp" n="GIPSA">Grenoble Images Parole Signal Automatique</idno>
            <idno type="stamp" n="GIPSA-DIS" corresp="GIPSA">Département Image et Signal</idno>
            <idno type="stamp" n="IRISA_SET">IRISA_SET</idno>
            <idno type="stamp" n="GIPSA-VIBS" corresp="GIPSA-DIS">VIBS</idno>
            <idno type="stamp" n="OPENAIRE">OpenAIRE</idno>
            <idno type="stamp" n="INRIA_TEST">INRIA - Institut National de Recherche en Informatique et en Automatique</idno>
            <idno type="stamp" n="TESTALAIN1">TESTALAIN1</idno>
            <idno type="stamp" n="INRIA2">INRIA 2</idno>
            <idno type="stamp" n="UR1-HAL">Publications labos UR1 dans HAL-Rennes 1</idno>
            <idno type="stamp" n="UR1-MATH-STIC">UR1 - publications Maths-STIC</idno>
            <idno type="stamp" n="UR1-UFR-ISTIC">UFR ISTIC Informatique et électronique</idno>
            <idno type="stamp" n="TEST-UNIV-RENNES">TEST Université de Rennes</idno>
            <idno type="stamp" n="TEST-UR-CSS">TEST Université de Rennes CSS</idno>
            <idno type="stamp" n="UNIV-RENNES">Université de Rennes</idno>
            <idno type="stamp" n="INRIA-RENGRE">INRIA-RENGRE</idno>
            <idno type="stamp" n="INRIA2017-PREPRINT">INRIA2017-PREPRINT</idno>
            <idno type="stamp" n="INRIA-300009">Inria 300009</idno>
            <idno type="stamp" n="UGA-COMUE">Université Grenoble Alpes [2016-2019]</idno>
            <idno type="stamp" n="UR1-MATH-NUM">Pôle UnivRennes - Mathématiques - Numérique </idno>
            <idno type="stamp" n="INRIAARTDOI">INRIAARTDOI</idno>
            <idno type="stamp" n="TEST-UGA">TEST-UGA</idno>
          </seriesStmt>
          <notesStmt>
            <note type="commentary">to appear in Information and Inference, a journal of the IMA (available online since December 2017)</note>
            <note type="audience" n="2">International</note>
            <note type="popular" n="0">No</note>
            <note type="peer" n="1">Yes</note>
          </notesStmt>
          <sourceDesc>
            <biblStruct>
              <analytic>
                <title xml:lang="en">Sketching for Large-Scale Learning of Mixture Models</title>
                <author role="aut">
                  <persName>
                    <forename type="first">Nicolas</forename>
                    <surname>Keriven</surname>
                  </persName>
                  <email type="md5">fb84266a29a185392c998b2b5317f7e7</email>
                  <email type="domain">cnrs.fr</email>
                  <idno type="idhal" notation="string">nicolas-keriven</idno>
                  <idno type="idhal" notation="numeric">4423</idno>
                  <idno type="halauthorid" notation="string">25971-4423</idno>
                  <idno type="IDREF">https://www.idref.fr/223562270</idno>
                  <idno type="ORCID">https://orcid.org/0000-0002-3846-8763</idno>
                  <idno type="VIAF">https://viaf.org/viaf/120151836552920401906</idno>
                  <idno type="GOOGLE SCHOLAR">https://scholar.google.fr/citations?user=aNYFO8sAAAAJ</idno>
                  <affiliation ref="#struct-105160"/>
                  <affiliation ref="#struct-491299"/>
                </author>
                <author role="aut">
                  <persName>
                    <forename type="first">Anthony</forename>
                    <surname>Bourrier</surname>
                  </persName>
                  <email type="md5">2e5d96c439df8a9909f131ee7111bacf</email>
                  <email type="domain">gmail.com</email>
                  <idno type="idhal" notation="string">anthony-bourrier</idno>
                  <idno type="idhal" notation="numeric">140</idno>
                  <idno type="halauthorid" notation="string">23205-140</idno>
                  <affiliation ref="#struct-1042684"/>
                </author>
                <author role="aut">
                  <persName>
                    <forename type="first">Rémi</forename>
                    <surname>Gribonval</surname>
                  </persName>
                  <email type="md5">28c131b4344cc94988a498501f1f493a</email>
                  <email type="domain">inria.fr</email>
                  <idno type="idhal" notation="string">remi-gribonval</idno>
                  <idno type="idhal" notation="numeric">1255</idno>
                  <idno type="halauthorid" notation="string">19036-1255</idno>
                  <idno type="ORCID">https://orcid.org/0000-0002-9450-8125</idno>
                  <idno type="IDREF">https://www.idref.fr/113181590</idno>
                  <orgName ref="#struct-300009"/>
                  <affiliation ref="#struct-491299"/>
                </author>
                <author role="aut">
                  <persName>
                    <forename type="first">Patrick</forename>
                    <surname>Pérez</surname>
                  </persName>
                  <email type="md5">3df527186b29bf63b35c10f5a1e4ad4e</email>
                  <email type="domain">toulouse.archi.fr</email>
                  <idno type="idhal" notation="numeric">1022281</idno>
                  <idno type="halauthorid" notation="string">33333-1022281</idno>
                  <affiliation ref="#struct-117468"/>
                </author>
              </analytic>
              <monogr>
                <idno type="halJournalId" status="VALID">98254</idno>
                <idno type="issn">2049-8764</idno>
                <idno type="eissn">2049-8772</idno>
                <title level="j">Information and Inference</title>
                <imprint>
                  <publisher>Oxford University Press (OUP)</publisher>
                  <biblScope unit="volume">7</biblScope>
                  <biblScope unit="issue">3</biblScope>
                  <biblScope unit="pp">447-508</biblScope>
                  <date type="datePub">2018-09-19</date>
                  <date type="dateEpub">2017-12-22</date>
                </imprint>
              </monogr>
              <idno type="arxiv">1606.02838</idno>
              <idno type="doi">10.1093/imaiai/iax015</idno>
              <ref target="https://academic.oup.com/imaiai/advance-article-abstract/doi/10.1093/imaiai/iax015/4772757" type="seeAlso"/>
              <ref type="publisher">https://academic.oup.com/imaiai/article/7/3/447/4772757</ref>
              <relatedItem target="https://inria.hal.science/hal-02960718v1" type="References" subtype="http://purl.org/coar/resource_type/c_5ce6"/>
            </biblStruct>
          </sourceDesc>
          <profileDesc>
            <langUsage>
              <language ident="en">English</language>
            </langUsage>
            <textClass>
              <keywords scheme="author">
                <term xml:lang="en">compressive learning</term>
                <term xml:lang="en">database sketch</term>
                <term xml:lang="en">gaussian mixture models</term>
                <term xml:lang="en">compressive sensing</term>
              </keywords>
              <classCode scheme="halDomain" n="info.info-lg">Computer Science [cs]/Machine Learning [cs.LG]</classCode>
              <classCode scheme="halDomain" n="info.info-ts">Computer Science [cs]/Signal and Image Processing</classCode>
              <classCode scheme="halDomain" n="math.math-pr">Mathematics [math]/Probability [math.PR]</classCode>
              <classCode scheme="halTypology" n="ART">Journal articles</classCode>
              <classCode scheme="halOldTypology" n="ART">Journal articles</classCode>
              <classCode scheme="halTreeTypology" n="ART">Journal articles</classCode>
            </textClass>
            <abstract xml:lang="en">
              <p>Learning parameters from voluminous data can be prohibitive in terms of memory and computational requirements. We propose a " compressive learning " framework where we estimate model parameters from a sketch of the training data. This sketch is a collection of generalized moments of the underlying probability distribution of the data. It can be computed in a single pass on the training set, and is easily computable on streams or distributed datasets. The proposed framework shares similarities with compressive sensing, which aims at drastically reducing the dimension of high-dimensional signals while preserving the ability to reconstruct them. To perform the estimation task, we derive an iterative algorithm analogous to sparse reconstruction algorithms in the context of linear inverse problems. We exemplify our framework with the compressive estimation of a Gaussian Mixture Model (GMM), providing heuristics on the choice of the sketching procedure and theoretical guarantees of reconstruction. We experimentally show on synthetic data that the proposed algorithm yields results comparable to the classical Expectation-Maximization (EM) technique while requiring significantly less memory and fewer computations when the number of database elements is large. We further demonstrate the potential of the approach on real large-scale data (over 10 8 training samples) for the task of model-based speaker verification. Finally, we draw some connections between the proposed framework and approximate Hilbert space embedding of probability distributions using random features. We show that the proposed sketching operator can be seen as an innovative method to design translation-invariant kernels adapted to the analysis of GMMs. We also use this theoretical framework to derive information preservation guarantees, in the spirit of infinite-dimensional compressive sensing.</p>
            </abstract>
          </profileDesc>
        </biblFull>
      </listBibl>
    </body>
    <back>
      <listOrg type="structures">
        <org type="institution" xml:id="struct-105160" status="VALID">
          <idno type="IdRef">26693823X</idno>
          <idno type="ROR">https://ror.org/015m7wh34</idno>
          <orgName>Université de Rennes</orgName>
          <orgName type="acronym">UR</orgName>
          <desc>
            <address>
              <addrLine>Campus de Beaulieu, 263 avenue Général Leclerc, CS 74205, 35042 RENNES CEDEX</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">https://www.univ-rennes.fr/</ref>
          </desc>
        </org>
        <org type="researchteam" xml:id="struct-491299" status="OLD">
          <idno type="RNSR">201321091Y</idno>
          <orgName>Parcimonie et Nouveaux Algorithmes pour le Signal et la Modélisation Audio</orgName>
          <orgName type="acronym">PANAMA</orgName>
          <date type="start">2017-01-01</date>
          <date type="end">2020-12-31</date>
          <desc>
            <address>
              <addrLine>Campus de Beaulieu 35042 Rennes cedex</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">https://www.inria.fr/equipes/panama</ref>
          </desc>
          <listRelation>
            <relation active="#struct-419153" type="direct"/>
            <relation active="#struct-300009" type="indirect"/>
            <relation active="#struct-491232" type="direct"/>
            <relation active="#struct-490899" type="indirect"/>
            <relation active="#struct-105160" type="indirect"/>
            <relation active="#struct-117606" type="indirect"/>
            <relation active="#struct-301232" type="indirect"/>
            <relation active="#struct-172265" type="indirect"/>
            <relation active="#struct-247362" type="indirect"/>
            <relation active="#struct-411575" type="indirect"/>
            <relation name="UMR6074" active="#struct-441569" type="indirect"/>
            <relation active="#struct-481355" type="indirect"/>
            <relation active="#struct-302102" type="indirect"/>
          </listRelation>
        </org>
        <org type="researchteam" xml:id="struct-1042684" status="OLD">
          <orgName>GIPSA - Vision and Brain Signal Processing</orgName>
          <orgName type="acronym">GIPSA-VIBS</orgName>
          <date type="start">2016-01-01</date>
          <date type="end">2019-12-31</date>
          <desc>
            <address>
              <addrLine>GIPSA-lab, 11 rue des Mathématiques, Grenoble Campus BP46, F-38402 SAINT MARTIN D'HERES CEDEX</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">http://www.gipsa-lab.grenoble-inp.fr/vibs/accueil-vibs.php</ref>
          </desc>
          <listRelation>
            <relation active="#struct-1042666" type="direct"/>
            <relation active="#struct-1042376" type="indirect"/>
            <relation active="#struct-89889" type="indirect"/>
            <relation active="#struct-300275" type="indirect"/>
            <relation name="UMR5216" active="#struct-441569" type="indirect"/>
            <relation active="#struct-445543" type="indirect"/>
          </listRelation>
        </org>
        <org type="laboratory" xml:id="struct-117468" status="VALID">
          <orgName>Technicolor [Cesson Sévigné]</orgName>
          <desc>
            <address>
              <addrLine>1 avenue de Belle Fontaine 35 576 Cesson Sévigné Cedex France</addrLine>
              <country key="FR"/>
            </address>
          </desc>
          <listRelation>
            <relation active="#struct-367121" type="direct"/>
          </listRelation>
        </org>
        <org type="laboratory" xml:id="struct-419153" status="VALID">
          <idno type="RNSR">198018249C</idno>
          <idno type="ROR">https://ror.org/04040yw90</idno>
          <orgName>Centre Inria de l'Université de Rennes</orgName>
          <desc>
            <address>
              <addrLine>Campus de beaulieu35042 Rennes cedex</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">http://www.inria.fr/centre/rennes</ref>
          </desc>
          <listRelation>
            <relation active="#struct-300009" type="direct"/>
          </listRelation>
        </org>
        <org type="institution" xml:id="struct-300009" status="VALID">
          <idno type="ROR">https://ror.org/02kvxyf05</idno>
          <orgName>Institut National de Recherche en Informatique et en Automatique</orgName>
          <orgName type="acronym">Inria</orgName>
          <desc>
            <address>
              <addrLine>Domaine de VoluceauRocquencourt - BP 10578153 Le Chesnay Cedex</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">http://www.inria.fr/en/</ref>
          </desc>
        </org>
        <org type="department" xml:id="struct-491232" status="OLD">
          <orgName>SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE</orgName>
          <orgName type="acronym">IRISA-D5</orgName>
          <date type="end">2021-12-31</date>
          <desc>
            <address>
              <country key="FR"/>
            </address>
            <ref type="url">https://www.irisa.fr/fr/departements/d5-signaux-images-numeriques-robotique</ref>
          </desc>
          <listRelation>
            <relation active="#struct-490899" type="direct"/>
            <relation active="#struct-105160" type="indirect"/>
            <relation active="#struct-117606" type="indirect"/>
            <relation active="#struct-301232" type="indirect"/>
            <relation active="#struct-172265" type="indirect"/>
            <relation active="#struct-247362" type="indirect"/>
            <relation active="#struct-300009" type="indirect"/>
            <relation active="#struct-411575" type="indirect"/>
            <relation name="UMR6074" active="#struct-441569" type="indirect"/>
            <relation active="#struct-481355" type="indirect"/>
            <relation active="#struct-302102" type="indirect"/>
          </listRelation>
        </org>
        <org type="laboratory" xml:id="struct-490899" status="VALID">
          <idno type="IdRef">026386909</idno>
          <idno type="ISNI">0000 0001 2298 7270</idno>
          <idno type="RNSR">200012163A</idno>
          <idno type="ROR">https://ror.org/00myn0z94</idno>
          <orgName>Institut de Recherche en Informatique et Systèmes Aléatoires</orgName>
          <orgName type="acronym">IRISA</orgName>
          <date type="start">2017-01-01</date>
          <desc>
            <address>
              <addrLine>Avenue du général LeclercCampus de Beaulieu 35042 RENNES CEDEX</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">http://www.irisa.fr</ref>
          </desc>
          <listRelation>
            <relation active="#struct-105160" type="direct"/>
            <relation active="#struct-117606" type="direct"/>
            <relation active="#struct-301232" type="indirect"/>
            <relation active="#struct-172265" type="direct"/>
            <relation active="#struct-247362" type="direct"/>
            <relation active="#struct-300009" type="direct"/>
            <relation active="#struct-411575" type="direct"/>
            <relation name="UMR6074" active="#struct-441569" type="direct"/>
            <relation active="#struct-481355" type="direct"/>
            <relation active="#struct-302102" type="indirect"/>
          </listRelation>
        </org>
        <org type="institution" xml:id="struct-117606" status="VALID">
          <idno type="ROR">https://ror.org/04xaa4j22</idno>
          <orgName>Institut National des Sciences Appliquées - Rennes</orgName>
          <orgName type="acronym">INSA Rennes</orgName>
          <desc>
            <address>
              <addrLine>20, avenue des Buttes de Coësmes - CS 70839 - 35708 Rennes cedex 7</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">http://www.insa-rennes.fr/</ref>
          </desc>
          <listRelation>
            <relation active="#struct-301232" type="direct"/>
          </listRelation>
        </org>
        <org type="regroupinstitution" xml:id="struct-301232" status="VALID">
          <idno type="IdRef">162105150</idno>
          <orgName>Institut National des Sciences Appliquées</orgName>
          <orgName type="acronym">INSA</orgName>
          <desc>
            <address>
              <country key="FR"/>
            </address>
          </desc>
        </org>
        <org type="institution" xml:id="struct-172265" status="VALID">
          <idno type="IdRef">05017746X</idno>
          <idno type="ISNI">0000000121680285</idno>
          <idno type="ROR">https://ror.org/04ed7fw48</idno>
          <orgName>Université de Bretagne Sud</orgName>
          <orgName type="acronym">UBS</orgName>
          <date type="start">1995-02-07</date>
          <desc>
            <address>
              <addrLine>BP 92116 - 56321 Lorient cedex</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">http://www.univ-ubs.fr/</ref>
          </desc>
        </org>
        <org type="institution" xml:id="struct-247362" status="VALID">
          <idno type="ROR">https://ror.org/03rxtdc22</idno>
          <orgName>École normale supérieure - Rennes</orgName>
          <orgName type="acronym">ENS Rennes</orgName>
          <desc>
            <address>
              <addrLine>Campus de Ker Lann - avenue Robert Schuman - 35170 Bruz</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">http://www.ens-rennes.fr</ref>
          </desc>
        </org>
        <org type="institution" xml:id="struct-411575" status="VALID">
          <idno type="IdRef">184443237</idno>
          <idno type="ROR">https://ror.org/019tcpt25</idno>
          <orgName>CentraleSupélec</orgName>
          <desc>
            <address>
              <addrLine>3, rue Joliot Curie,Plateau de Moulon,91192 GIF-SUR-YVETTE Cedex</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">http://www.centralesupelec.fr</ref>
          </desc>
        </org>
        <org type="regroupinstitution" xml:id="struct-441569" status="VALID">
          <idno type="IdRef">02636817X</idno>
          <idno type="ISNI">0000000122597504</idno>
          <idno type="ROR">https://ror.org/02feahw73</idno>
          <orgName>Centre National de la Recherche Scientifique</orgName>
          <orgName type="acronym">CNRS</orgName>
          <date type="start">1939-10-19</date>
          <desc>
            <address>
              <country key="FR"/>
            </address>
            <ref type="url">https://www.cnrs.fr/</ref>
          </desc>
        </org>
        <org type="institution" xml:id="struct-481355" status="VALID">
          <idno type="IdRef">202743233</idno>
          <idno type="ROR">https://ror.org/030hj3061</idno>
          <orgName>IMT Atlantique</orgName>
          <orgName type="acronym">IMT Atlantique</orgName>
          <date type="start">2017-01-01</date>
          <desc>
            <address>
              <addrLine>Campus Brest : Technopôle Brest-Iroise CS 8381829238 BREST Cedex 3 -Campus Nantes : 4, rue Alfred Kastler- La chantrerie 44300 NANTES -Campus Rennes :  2 Rue de la Châtaigneraie, 35510 CESSON SEVIGNE</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">https://www.imt-atlantique.fr</ref>
          </desc>
          <listRelation>
            <relation active="#struct-302102" type="direct"/>
          </listRelation>
        </org>
        <org type="regroupinstitution" xml:id="struct-302102" status="VALID">
          <idno type="IdRef">192427156</idno>
          <idno type="ISNI">000000012202567X</idno>
          <idno type="ROR">https://ror.org/025vp2923</idno>
          <idno type="Wikidata">Q27962533</idno>
          <orgName>Institut Mines-Télécom [Paris]</orgName>
          <orgName type="acronym">IMT</orgName>
          <date type="start">2012-03-01</date>
          <desc>
            <address>
              <addrLine>19 Place Marguerite Perey, 91120 Palaiseau</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">https://www.imt.fr/</ref>
          </desc>
        </org>
        <org type="department" xml:id="struct-1042666" status="OLD">
          <orgName>Département Images et Signal</orgName>
          <orgName type="acronym">GIPSA-DIS</orgName>
          <date type="start">2016-01-01</date>
          <date type="end">2019-12-31</date>
          <desc>
            <address>
              <addrLine>11 rue des Mathématiques, Grenoble Campus BP46, 38402 SAINT MARTIN D'HERES</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">http://www.gipsa-lab.fr/recherche/departement-images-signal.php</ref>
          </desc>
          <listRelation>
            <relation active="#struct-1042376" type="direct"/>
            <relation active="#struct-89889" type="indirect"/>
            <relation active="#struct-300275" type="indirect"/>
            <relation name="UMR5216" active="#struct-441569" type="indirect"/>
            <relation active="#struct-445543" type="indirect"/>
          </listRelation>
        </org>
        <org type="laboratory" xml:id="struct-1042376" status="OLD">
          <idno type="IdRef">137251122</idno>
          <idno type="ISNI">0000000118823396 </idno>
          <idno type="RNSR">200711885T</idno>
          <idno type="ROR">https://ror.org/02wrme198</idno>
          <orgName>Grenoble Images Parole Signal Automatique</orgName>
          <orgName type="acronym">GIPSA-lab</orgName>
          <date type="start">2016-01-01</date>
          <date type="end">2019-12-31</date>
          <desc>
            <address>
              <addrLine>GIPSA-lab 11 rue des Mathématiques, Grenoble Campus BP46F-38402 SAINT MARTIN D'HERES CEDEX</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">http://www.gipsa-lab.inpg.fr/</ref>
          </desc>
          <listRelation>
            <relation active="#struct-89889" type="direct"/>
            <relation active="#struct-300275" type="direct"/>
            <relation name="UMR5216" active="#struct-441569" type="direct"/>
            <relation active="#struct-445543" type="direct"/>
          </listRelation>
        </org>
        <org type="institution" xml:id="struct-89889" status="OLD">
          <idno type="IdRef">026388804</idno>
          <idno type="ROR">https://ror.org/05sbt2524</idno>
          <orgName>Institut polytechnique de Grenoble - Grenoble Institute of Technology</orgName>
          <orgName type="acronym">Grenoble INP</orgName>
          <date type="start">2007-01-01</date>
          <date type="end">2019-12-31</date>
          <desc>
            <address>
              <addrLine>46 avenue Félix Viallet 38031 Grenoble Cedex 1</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">http://www.grenoble-inp.fr/</ref>
          </desc>
        </org>
        <org type="institution" xml:id="struct-300275" status="OLD">
          <idno type="IdRef">026388804</idno>
          <orgName>Institut National Polytechnique de Grenoble</orgName>
          <orgName type="acronym">INPG</orgName>
          <date type="end">2006-12-31</date>
          <desc>
            <address>
              <addrLine>46 avenue Félix Viallet 38031 Grenoble Cedex 1</addrLine>
              <country key="FR"/>
            </address>
          </desc>
        </org>
        <org type="institution" xml:id="struct-445543" status="OLD">
          <idno type="IdRef">188399275</idno>
          <idno type="ROR">https://ror.org/02rx3b187</idno>
          <orgName>Université Grenoble Alpes [2016-2019]</orgName>
          <orgName type="acronym">UGA [2016-2019]</orgName>
          <date type="start">2016-01-01</date>
          <date type="end">2019-12-31</date>
          <desc>
            <address>
              <addrLine>38058 Grenoble cedex</addrLine>
              <country key="FR"/>
            </address>
          </desc>
        </org>
        <org type="institution" xml:id="struct-367121" status="VALID">
          <orgName>Technicolor</orgName>
          <desc>
            <address>
              <country key="FR"/>
            </address>
            <ref type="url">http://www.technicolor.com/fr/</ref>
          </desc>
        </org>
      </listOrg>
      <listOrg type="projects">
        <org type="europeanProject" xml:id="projeurop-87088" status="VALID">
          <idno type="number">277906</idno>
          <idno type="program">ERC-2011-StG_20101014</idno>
          <idno type="call">ERC-2011-StG_20101014</idno>
          <orgName>PLEASE</orgName>
          <desc>"PLEASE: Projections, Learning, and Sparsity for Efficient data-processing"</desc>
          <date type="start">2012-01-01</date>
          <date type="end">2016-12-31</date>
        </org>
      </listOrg>
    </back>
  </text>
</TEI>