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Conference papers

Manifold and Data Filtering on Graphs

Olivier Lezoray 1 Vinh Thong Ta 1 Abderrahim Elmoataz 1
1 Equipe Image - Laboratoire GREYC - UMR6072
GREYC - Groupe de Recherche en Informatique, Image et Instrumentation de Caen
Abstract : High-dimensional feature spaces are often corrupted by noise. This is problematic for the processing of manifold and data since most of reference methods are sensitive to noise. This paper presents preprocessing methods for manifold denoising and simplification based on discrete analogues of continuous regularization and mathematical morphology. Both approaches enable to project the data onto a submanifold with a graph generated by the data.
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Submitted on : Tuesday, January 21, 2014 - 1:26:46 PM
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  • HAL Id : hal-00410670, version 1


Olivier Lezoray, Vinh Thong Ta, Abderrahim Elmoataz. Manifold and Data Filtering on Graphs. International Workshop on Topological learning 2009, 2009, Lyon, France. 10 pp. ⟨hal-00410670⟩



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