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View all- Wang MZhang CSong J(2024)CrowdDC: Ranking From Crowdsourced Paired Comparison With Divide-and-ConquerIEEE Transactions on Computational Social Systems10.1109/TCSS.2023.329663211:2(3015-3021)Online publication date: May-2024
A method for ranking of alternatives or objects and its extensions by incomplete pairwise comparisons using random set theory are proposed in the paper. The main feature of the method is that it allows us to deal with comparisons of arbitrary groups of ...
Low-rank inducing unitarily invariant norms have been introduced to convexify problems with a low-rank/sparsity constraint. The most well-known member of this family is the so-called nuclear norm. To solve optimization problems involving such ...
Optimization problems with rank constraints appear in many diverse fields such as control, machine learning, and image analysis. Since the rank constraint is nonconvex, these problems are often approximately solved via convex relaxations. Nuclear norm ...
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