Correlation clustering in general weighted graphs
By Erik D. Demaine, Dotan Emanuel, Amos Fiat, Nicole Immorlica. Theoretical Computer Science, 2006
359 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Signal Processing
View Paper: https://www.semanticscholar.org/paper/e5d4b0c7b7fb499c60c7b9fb87e7b41ea7e79a7f
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Theory and Mathematics
- Bjoern Andres
- Dan Suciu
- Thomas Brox
- Nicolas Bonneel
- Arvind Arasu
- Mykhaylo Andriluka
- Christopher R'e
- Bernt Schiele
In Signal Processing
- Dan Suciu
- Bjoern Andres
- Thomas Brox
- Arvind Arasu
- Mykhaylo Andriluka
- Christopher R'e
- Bernt Schiele
- Anshumali Shrivastava
Citations in the corpus
- Multiple People Tracking by Lifted Multicut and Person Re-identification (2017, background): “The minimum cost lifted multicut problem defined by (4) is APX-hard [8].”
- Efficient Decomposition of Image and Mesh Graphs by Lifted Multicuts (2015, background): “One disadvantage is the NP-hardness of the MP [11, 18].”
- Large-Scale Deduplication with Constraints Using Dedupalog (2009, background): “In fact, for some natural variants of the clustering problem it is believed that no algorithm can even give a bounded approximation guarantee [15].”
- DeeperCut: A Deeper, Stronger, and Faster Multi-person Pose Estimation Model (2016, background): “DeeperCut is also able to correctly assemble body parts even for rare body articulations as in the image 25.”
- Subgraph decomposition for multi-target tracking (2015, methodology): “The Minimum Cost Subgraph Multicut Problem is NP-hard [4] and APXhard [7].”
- Motion Trajectory Segmentation via Minimum Cost Multicuts (2015, background): “Although problem defined in equation (1) is NP-hard [5] and even APX-hard [11], instances have been solved within tight bounds or even to optimality in for example [2] using the constrained integer linear programming (ILP) problem formulation from equation 1 and branch-and-cut.”