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Diffusion wavelets

Diffusion wavelets are a fast multiscale framework for the analysis of functions on discrete (or discretized continuous) structures like graphs… 
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Papers overview

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Highly Cited
2018
Highly Cited
2018
Stability is a key aspect of data analysis. In many applications, the natural notion of stability is geometric, as illustrated… 
Highly Cited
2017
Highly Cited
2017
Nodes residing in different parts of a graph can have similar structural roles within their local network topology. The… 
2014
2014
In wireless distributed networks, each node establishes its route autonomously. The optimum route should be selected according to… 
2010
2010
In digital geometry processing and shape modeling, the Laplace-Beltrami and the heat diffusion operator, together with the… 
2010
2010
We present a shape description framework that generates a multitude of shape descriptors through a variety of design and… 
Highly Cited
2009
Highly Cited
2009
Manifold alignment has been found to be useful in many fields of machine learning and data mining. In this paper we summarize our… 
2005
2005
Recent work by some of the authors presented a novel construction of a multiresolution analysis on manifolds and graphs, acted… 
Highly Cited
2005
Highly Cited
2005
We investigate the problem of automatically constructing efficient representations or basis functions for approximating value… 
Highly Cited
2004
Highly Cited
2004
2002
2002
This report aims to present my research updates on distance function wavelets (DFW) based on the fundamental solutions and the…