<?xml version="1.0" encoding="UTF-8"?>

<modsCollection xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://www.loc.gov/mods/v3" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-3.xsd">
<mods version="3.3">

<genre>conference paper</genre>

<titleInfo><title>A message passing algorithm for the minimum cost multicut problem</title></titleInfo>


<note type="publicationStatus">published</note>


<note type="qualityControlled">yes</note>

<name type="personal">
  <namePart type="given">Paul</namePart>
  <namePart type="family">Swoboda</namePart>
  <role><roleTerm type="text">author</roleTerm> </role><identifier type="local">446560C6-F248-11E8-B48F-1D18A9856A87</identifier></name>
<name type="personal">
  <namePart type="given">Bjoern</namePart>
  <namePart type="family">Andres</namePart>
  <role><roleTerm type="text">author</roleTerm> </role></name>







<name type="corporate">
  <namePart></namePart>
  <identifier type="local">VlKo</identifier>
  <role>
    <roleTerm type="text">department</roleTerm>
  </role>
</name>



<name type="conference">
  <namePart>CVPR: Computer Vision and Pattern Recognition</namePart>
</name>



<name type="corporate">
  <namePart>Discrete Optimization in Computer Vision: Theory and Practice</namePart>
  <role><roleTerm type="text">project</roleTerm></role>
</name>



<abstract lang="eng">We propose a dual decomposition and linear program relaxation of the NP-hard minimum cost multicut problem. Unlike other polyhedral relaxations of the multicut polytope, it is amenable to efficient optimization by message passing. Like other polyhedral relaxations, it can be tightened efficiently by cutting planes.  We define an algorithm that alternates between message passing and efficient separation of cycle- and odd-wheel inequalities. This algorithm is more efficient than state-of-the-art algorithms based on linear programming, including algorithms written in the framework of leading commercial software, as we show in experiments with large instances of the problem from applications in computer vision, biomedical image analysis and data mining.</abstract>

<relatedItem type="constituent">
  <location>
    <url displayLabel="Swoboda_A_Message_Passing_CVPR_2017_paper.pdf">https://research-explorer.ista.ac.at/download/915/5849/Swoboda_A_Message_Passing_CVPR_2017_paper.pdf</url>
  </location>
  <physicalDescription><internetMediaType>application/pdf</internetMediaType></physicalDescription><accessCondition type="restrictionOnAccess">no</accessCondition>
</relatedItem>
<originInfo><publisher>IEEE</publisher><dateIssued encoding="w3cdtf">2017</dateIssued><place><placeTerm type="text">Honolulu, HA, United States</placeTerm></place>
</originInfo>
<language><languageTerm authority="iso639-2b" type="code">eng</languageTerm>
</language>



<relatedItem type="host">
  <identifier type="isbn">978-153860457-1</identifier>
  <identifier type="ISI">000418371405009</identifier><identifier type="doi">10.1109/CVPR.2017.530</identifier>
<part><detail type="volume"><number>2017</number></detail><extent unit="pages">4990-4999</extent>
</part>
</relatedItem>


<extension>
<bibliographicCitation>
<short>P. Swoboda, B. Andres, in:, IEEE, 2017, pp. 4990–4999.</short>
<apa>Swoboda, P., &amp;#38; Andres, B. (2017). A message passing algorithm for the minimum cost multicut problem (Vol. 2017, pp. 4990–4999). Presented at the CVPR: Computer Vision and Pattern Recognition, Honolulu, HA, United States: IEEE. &lt;a href=&quot;https://doi.org/10.1109/CVPR.2017.530&quot;&gt;https://doi.org/10.1109/CVPR.2017.530&lt;/a&gt;</apa>
<ama>Swoboda P, Andres B. A message passing algorithm for the minimum cost multicut problem. In: Vol 2017. IEEE; 2017:4990-4999. doi:&lt;a href=&quot;https://doi.org/10.1109/CVPR.2017.530&quot;&gt;10.1109/CVPR.2017.530&lt;/a&gt;</ama>
<ieee>P. Swoboda and B. Andres, “A message passing algorithm for the minimum cost multicut problem,” presented at the CVPR: Computer Vision and Pattern Recognition, Honolulu, HA, United States, 2017, vol. 2017, pp. 4990–4999.</ieee>
<ista>Swoboda P, Andres B. 2017. A message passing algorithm for the minimum cost multicut problem. CVPR: Computer Vision and Pattern Recognition vol. 2017, 4990–4999.</ista>
<chicago>Swoboda, Paul, and Bjoern Andres. “A Message Passing Algorithm for the Minimum Cost Multicut Problem,” 2017:4990–99. IEEE, 2017. &lt;a href=&quot;https://doi.org/10.1109/CVPR.2017.530&quot;&gt;https://doi.org/10.1109/CVPR.2017.530&lt;/a&gt;.</chicago>
<mla>Swoboda, Paul, and Bjoern Andres. &lt;i&gt;A Message Passing Algorithm for the Minimum Cost Multicut Problem&lt;/i&gt;. Vol. 2017, IEEE, 2017, pp. 4990–99, doi:&lt;a href=&quot;https://doi.org/10.1109/CVPR.2017.530&quot;&gt;10.1109/CVPR.2017.530&lt;/a&gt;.</mla>
</bibliographicCitation>
</extension>
<recordInfo><recordIdentifier>915</recordIdentifier><recordCreationDate encoding="w3cdtf">2018-12-11T11:49:11Z</recordCreationDate><recordChangeDate encoding="w3cdtf">2024-11-04T13:52:34Z</recordChangeDate>
</recordInfo>
</mods>
</modsCollection>
