Výsledky vyhledávání - "KwangJun Ahn"

Autor: Kwangjun Ahn, Kangwook Lee, Changho Suh

Publikováno v: Allerton

Community recovery is a central problem that arises in a wide variety of applications such as network clustering, motion segmentation, face clustering and protein complex detection. The objective of the problem is to cluster data points into distinct

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::30f57f9056e9867ea2349dc575c20d15
https://doi.org/10.1109/tit.2019.2920637

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Hypergraph Spectral Clustering in the Weighted Stochastic Block Model

Autor: Changho Suh, Kwangjun Ahn, Kangwook Lee

Spectral clustering is a celebrated algorithm that partitions objects based on pairwise similarity information. While this approach has been successfully applied to a variety of domains, it comes with limitations. The reason is that there are many ot

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::187cc687b4e776abb210c652613d0310

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Akademický článek

Faster High-accuracy Log-concave Sampling via Algorithmic Warm Starts.

Autor: Altschuler, Jason M.¹ (AUTHOR) alts@upenn.edu, Chewi, Sinho² (AUTHOR) schewi@ias.edu

Publikováno v: Journal of the ACM. Jun2024, Vol. 71 Issue 3, p1-55. 55p.

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Information-theoretic limits of subspace clustering

Autor: Kangwook Lee, Kwangjun Ahn, Changho Suh

Publikováno v: ISIT

Subspace clustering is a celebrated problem that comes up in a variety of applications such as motion segmentation and face clustering. The goal of the problem is to find clusters in different subspaces from similarity measurements across data points

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e6a6aeed73704155ddaba82063bab0c9
https://doi.org/10.1109/isit.2017.8006974

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