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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
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.
2014
2014
Short-text representation using diffusion wavelets
Vidit Jain
,
Jay Mahadeokar
The Web Conference
2014
Corpus ID: 18249252
Usual text document representations such as tf-idf do not work well in classification tasks for short-text documents and across…
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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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2014
2014
Anomaly Detection by Diffusion Wavelet-Based Analysis on Traffic Matrix
Teng Sun
,
Hui Tian
Sixth International Symposium on Parallel…
2014
Corpus ID: 15486054
Diffusion wavelets (DW) transform has been successfully used in Multi-Resolution Analysis (MRA) of traffic matrices because it…
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2011
2011
Applications of Diffusion Wavelets
Sravan Gudivada
2011
Corpus ID: 118214337
Diffusion wavelets have been constructed on graphs in order to allow an efficient multiscale representation. This MSc thesis…
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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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2009
2009
Multiscale Dimensionality Reduction Based on Diffusion Wavelets
Chang Wang
,
S. Mahadevan
2009
Corpus ID: 11452347
Many machine learning data sets are embedded in high-dimensional spaces, and require some type of dimensionality reduction to…
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2009
2009
On Mesh Editing, Manifold Learning, and Diffusion Wavelets
R. Rustamov
IMA Conference on the Mathematics of Surfaces
2009
Corpus ID: 8163015
We spell out a formal equivalence between the naive Laplacian editing and semi-supervised learning by bi-Laplacian Regularized…
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2007
2007
Nonlinear Approximation of Spatiotemporal Data Using Diffusion Wavelets
M. Wild
International Conference on Computer Analysis of…
2007
Corpus ID: 42448274
We present a multiscale, graph-based approach to 3D image analysis using diffusion wavelet bases, which were presented in [1…
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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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