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research [2019/11/16 19:14]
ipa [Variational Image Analysis on Manifolds and Metric Measure Spaces]
research [2019/11/16 19:15] (current)
ipa [Variational Image Analysis on Manifolds and Metric Measure Spaces]
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 **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. **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://ipa.math.uni-heidelberg.de/​dokuwiki/Papers/Zisler2019ab.pdf|Self-Assignment Flows for Unsupervised Data Labeling on Graphs; preprint: arXiv:​1911.03472]]+  * [[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]].