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Zhuang et al., 2016 - Google Patents

Locality-preserving low-rank representation for graph construction from nonlinear manifolds

Zhuang et al., 2016

View PDF
Document ID
13348117487644809483
Author
Zhuang L
Wang J
Lin Z
Yang A
Ma Y
Yu N
Publication year
Publication venue
Neurocomputing

External Links

Snippet

Building a good graph to represent data structure is important in many computer vision and machine learning tasks such as recognition and clustering. This paper proposes a novel method to learn an undirected graph from a mixture of nonlinear manifolds via Locality …
Continue reading at zhouchenlin.github.io (PDF) (other versions)

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