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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]]. | ||