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Multicuts and Perturb & MAP for Probabilistic Graph Clustering

Multicuts and Perturb & MAP for Probabilistic Graph Clustering

9 January 2016
Jörg H. Kappes
Paul Swoboda
Bogdan Savchynskyy
Tamir Hazan
Christoph Schnörr
ArXiv (abs)PDFHTML

Papers citing "Multicuts and Perturb & MAP for Probabilistic Graph Clustering"

3 / 3 papers shown
Title
M3C: A Framework towards Convergent, Flexible, and Unsupervised Learning
  of Mixture Graph Matching and Clustering
M3C: A Framework towards Convergent, Flexible, and Unsupervised Learning of Mixture Graph Matching and Clustering
Jiaxin Lu
Zetian Jiang
Tianzhe Wang
Junchi Yan
133
1
0
27 Oct 2023
Correlation Clustering of Bird Sounds
Correlation Clustering of Bird Sounds
David Stein
Bjoern Andres
56
1
0
16 Jun 2023
Convex Joint Graph Matching and Clustering via Semidefinite Relaxations
Convex Joint Graph Matching and Clustering via Semidefinite Relaxations
Maximilian Krahn
Florian Bernard
Vladislav Golyanik
38
1
0
21 Oct 2021
1