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Landmark Alternating Diffusion
May 1, 2024, 4:42 a.m. | Sing-Yuan Yeh, Hau-Tieng Wu, Ronen Talmon, Mao-Pei Tsui
cs.LG updates on arXiv.org arxiv.org
Abstract: Alternating Diffusion (AD) is a commonly applied diffusion-based sensor fusion algorithm. While it has been successfully applied to various problems, its computational burden remains a limitation. Inspired by the landmark diffusion idea considered in the Robust and Scalable Embedding via Landmark Diffusion (ROSELAND), we propose a variation of AD, called Landmark AD (LAD), which captures the essence of AD while offering superior computational efficiency. We provide a series of theoretical analyses of LAD under the …
abstract algorithm arxiv computational cs.lg diffusion embedding fusion landmark math.st physics.data-an robust scalable sensor stat.ml stat.th type variation via while
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