Diffusion polynomial frames on metric measure spaces
By Mauro Maggioni, Hrushikesh Narhar Mhaskar. 2008
100 citations recorded by the source corpus.
Subfields: Applied Mathematics, Computational Mechanics, Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/5aa624b0c0618cced48d2efb0dd89481cdec4990
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In Applied Mathematics
- P. Auscher
- Tuomas Hytönen
- Frank Filbir
- Hrushikesh Narhar Mhaskar
- Andrei K. Lerner
- Dachun Yang
- D. Cruz-Uribe
- Michael T. Lacey
In Computational Mechanics
In Computer Vision and Pattern Recognition
Citations in the corpus
- Orthonormal bases of regular wavelets in spaces of homogeneous type (2011, background): “2 PASCAL AUSCHER AND TUOMAS HYTÖNEN the (quasi-)metric of the underlying space; some other generalizations from the point-of-view of abstract approximation spaces, as in [26], are yet another story.”
- Wavelets on Graphs via Spectral Graph Theory (2009, unknown): “Maggioni and Mhaskar have developed a theory of “diffusion polynomial frames” [36] that is closely related to the present work, in a more general quasi-metric measure space setting.”
- Quadrature rules and distribution of points on manifolds (2010, background): “We would like to thank the referee for some useful suggestions and especially for bringing to our attention the papers [14] and [27], which have led us to improve the original draft, in particular Corollary 2.”
- A Quadrature Formula for Diffusion Polynomials Corresponding to a Generalized Heat Kernel (2010, methodology): “The superiority of this method over traditional least squares in certain aspects was also observed in [24] in the context of semi–supervised learning of hand–written digits.”
- Applications of classical approximation theory to periodic basis function networks and computational harmonic analysis (2013, unknown): “, [39].”