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Robust Point Matching with Distance Profiles
May 17, 2024, 4:43 a.m. | YoonHaeng Hur, Yuehaw Khoo
cs.LG updates on arXiv.org arxiv.org
Abstract: While matching procedures based on pairwise distances are conceptually appealing and thus favored in practice, theoretical guarantees for such procedures are rarely found in the literature. We propose and analyze matching procedures based on distance profiles that are easily implementable in practice, showing these procedures are robust to outliers and noise. We demonstrate the performance of the proposed method using a real data example and provide simulation studies to complement the theoretical findings.
abstract analyze arxiv cs.lg found literature math.st outliers practice profiles replace robust stat.me stat.ml stat.th type while
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