Image masking schemes for local manifold learning methods

ICASSP 2015
Pages: 5768 - 5772
Published: Apr 19, 2015
Abstract
We consider the problem of selecting a subset of the dimensions of an image manifold that best preserves the underlying local structure in the original data. We have previously shown that masks which preserve the data neighborhood graph are well suited to global manifold learning algorithms. However, local manifold learning algorithms leverage a geometric structure beyond that captured by this neighborhood graph. In this paper, we present a mask...
Paper Details
Title
Image masking schemes for local manifold learning methods
DOI
Published Date
Apr 19, 2015
Journal
Pages
5768 - 5772
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