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Ehler, M.* ; Filbir, F.

Wavelet frames to optimally learn functions on diffusion measure spaces.

In: (9th International ISAAC Congress on Current Trends in Analysis and Its Applications, 2013). Springer, 2015. 715-720 (Trends Math. ; 2)
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Based on the theory of wavelets on data defined manifolds we study the Kolmogorov metric entropy and related measures of complexity of certain function spaces. We also develop constructive algorithms to represent those functions within a prescribed accuracy that is asymptotically optimal up to a logarithmic factor.
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Publikationstyp Artikel: Konferenzbeitrag
Schlagwörter Data-defined Manifold ; Diffusion Measure Space
ISSN (print) / ISBN 2297-0215
e-ISSN 2297-024X
Konferenztitel 9th International ISAAC Congress on Current Trends in Analysis and Its Applications, 2013
Zeitschrift Trends in Mathematics
Quellenangaben Band: 2, Heft: , Seiten: 715-720 Artikelnummer: , Supplement: ,
Verlag Springer
Begutachtungsstatus