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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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Related topics
7 relations
Dimensionality reduction
Laplacian matrix
Markov decision process
QR decomposition
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2018
Highly Cited
2018
Diffusion Scattering Transforms on Graphs
Fernando Gama
,
Alejandro Ribeiro
,
Joan Bruna
International Conference on Learning…
2018
Corpus ID: 49416020
Stability is a key aspect of data analysis. In many applications, the natural notion of stability is geometric, as illustrated…
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Highly Cited
2017
Highly Cited
2017
Learning Structural Node Embeddings via Diffusion Wavelets
Claire Donnat
,
M. Zitnik
,
David Hallac
,
J. Leskovec
Knowledge Discovery and Data Mining
2017
Corpus ID: 3340632
Nodes residing in different parts of a graph can have similar structural roles within their local network topology. The…
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2014
2014
An information sharing method using compressed sensing in wireless distributed networks
Shuhei Suzaki
,
Hiraku Okada
,
Kentaro Kobayashi
,
M. Katayama
IEEE Globecom Workshops (GC Wkshps)
2014
Corpus ID: 25587042
In wireless distributed networks, each node establishes its route autonomously. The optimum route should be selected according to…
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2010
2010
Multi-scale Feature Spaces for Shape Processing and Analysis
G. Patané
,
B. Falcidieno
Shape Modeling International Conference
2010
Corpus ID: 3228402
In digital geometry processing and shape modeling, the Laplace-Beltrami and the heat diffusion operator, together with the…
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2010
2010
A versatile framework for shape description
R. Rustamov
The Visual Computer
2010
Corpus ID: 29677670
We present a shape description framework that generates a multitude of shape descriptors through a variety of design and…
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Highly Cited
2009
Highly Cited
2009
A General Framework for Manifold Alignment
Chang Wang
,
S. Mahadevan
AAAI Fall Symposium: Manifold Learning and Its…
2009
Corpus ID: 2512151
Manifold alignment has been found to be useful in many fields of machine learning and data mining. In this paper we summarize our…
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2005
2005
Biorthogonal diffusion wavelets for multiscale representations on manifolds and graphs
M. Maggioni
,
J. Bremer
,
R. Coifman
,
Arthur Szlam
SPIE Optics + Photonics
2005
Corpus ID: 15507092
Recent work by some of the authors presented a novel construction of a multiresolution analysis on manifolds and graphs, acted…
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Highly Cited
2005
Highly Cited
2005
Value Function Approximation with Diffusion Wavelets and Laplacian Eigenfunctions
S. Mahadevan
,
M. Maggioni
Neural Information Processing Systems
2005
Corpus ID: 1608844
We investigate the problem of automatically constructing efficient representations or basis functions for approximating value…
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Highly Cited
2004
Highly Cited
2004
Diffusion Wavelets
R. Coifman
,
Mauro Maggioni
2004
Corpus ID: 1767868
2002
2002
Distance function wavelets - Part I: Helmholtz and convection-diffusion transforms and series
Wen Chen
arXiv.org
2002
Corpus ID: 3265059
This report aims to present my research updates on distance function wavelets (DFW) based on the fundamental solutions and the…
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