Capacity Releasing Diffusion for Speed and Locality

ICML, pp. 3598-3607, 2017.

Cited by: 16|Bibtex|Views33
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Other Links: dblp.uni-trier.de|academic.microsoft.com|arxiv.org

Abstract:

Diffusions and related random walk procedures are of central importance in many areas of machine learning, data analysis, and applied mathematics. Because they spread mass agnostically at each step in an iterative manner, they can sometimes spread mass too aggressively, thereby failing to find the right clusters. We introduce a novel Capa...More

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