arXiv · 2502.12417
Point source localisation with unbalanced optimal transport
Abstract
Replacing the quadratic proximal penalty familiar from Hilbert spaces by an unbalanced optimal transport distance, we develop forward-backward type optimisation methods in spaces of Radon measures. We avoid the actual computation of the optimal transport distances through the use of transport three-plans and the rough concept of transport subdifferentials. The resulting algorithm has a step similar to the sliding heuristics previously introduced for conditional gradient methods, however, now non-heuristically derived from the geometry of the space. We demonstrate the improved numerical performance of the approach.
Explore related subjects
Keep this discovery
Explore connections, maps & timelines
Tuomo Valkonen. 2025-02-18. Point source localisation with unbalanced optimal transport. https://arxiv.org/abs/2502.12417
Cite the original work for its findings. Save a collection to share your selection of sources.