Diffusion wavelets

Diffusion wavelets are a fast multiscale framework for the analysis of functions on discrete (or discretized continuous) structures like graphs… (More)
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Topic mentions per year

2002-2017
051020022017

Papers overview

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2010
2010
Web access logs contain information which can be converted to represent the access history of individual users. A large number of… (More)
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2009
2009
In this paper, we propose a novel representation of prior knowledge for image segmentation, using diffusion wavelets that can… (More)
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2009
2009
We propose a method for the segmentation of medical images based on a novel parameterization of prior shape knowledge and a… (More)
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2009
2009
Many machine learning data sets are embedded in high-dimensional spaces, and require some type of dimensionality reduction to… (More)
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2007
2007
Austrian Research Centers GmbH smart systems Division Donau City Str. 1, 1220 Vienna, Austria www.smart-systems.at Motivation… (More)
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2006
2006
We present a novel hierarchical framework for solving Markov decision processes (MDPs) using a multiscale method called diffusion… (More)
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2005
2005
Recent work by some of the authors presented a novel construction of a multiresolution analysis on manifolds and graphs, acted… (More)
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Highly Cited
2005
Highly Cited
2005
We investigate the problem of automatically constructing efficient representations or basis functions for approximating value… (More)
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Highly Cited
2004
Highly Cited
2004
We present a multiresolution construction for efficiently computing, compressing and applying large powers of operators that have… (More)
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2004
2004
Diffusion wavelets can be constructed on manifolds, graphs and allow an efficient multiscale representation of powers of the… (More)
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