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research [2019/10/24 11:52]
research [2019/11/16 19:15]
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   * [[https://​ipa.math.uni-heidelberg.de/​dokuwiki/​Papers/​Huhnerbein2019aa.pdf|Conference version, SSVM 2019]].   * [[https://​ipa.math.uni-heidelberg.de/​dokuwiki/​Papers/​Huhnerbein2019aa.pdf|Conference version, SSVM 2019]].
  
-**Unsupervised label learning.** Our recent work concerns the emergence of labels in a completely unsupervised way by data //​self//​-assignment. The resulting ​unsupervised ​assignment flow has connections to low-rank matrix factorisation and discrete optimal mass transport that are explored in our current work.+**Unsupervised label learning.** Our recent work concerns the emergence of labels in a completely unsupervised way by data //​self//​-assignment. The resulting ​//self-assignment flow// has connections to low-rank matrix factorisation and discrete optimal mass transport that are explored in our current work. 
 +  * [[https://​arxiv.org/​abs/​1911.03472|Self-Assignment Flows for Unsupervised Data Labeling on Graphs; preprint: arXiv:​1911.03472]]
   * [[https://​ipa.math.uni-heidelberg.de/​dokuwiki/​Papers/​Zisler2019aa.pdf|Unsupervised Labeling by Geometric and Spatially Regularized Self-Assignment,​ SSVM 2019]].   * [[https://​ipa.math.uni-heidelberg.de/​dokuwiki/​Papers/​Zisler2019aa.pdf|Unsupervised Labeling by Geometric and Spatially Regularized Self-Assignment,​ SSVM 2019]].