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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 reductionLaplacian matrixMarkov decision processQR decomposition

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2016
2016
Multiscale Inverse Reinforcement Learning using Diffusion Wavelets
This work presents a multiscale framework to solve an inverse reinforcement learning (IRL) problem for continuous-time/state… 
2014
2014
Multi-scale analysis of social network based on diffusion wavelets
A new multi-scale framework based on diffusion wavelets was proposed to analyze the homogeneous relationships, which can be used… 
2013
2013
Orthonormal Diffusion Decompositions of Images for Optical Flow Estimation
This paper proposes an ortho-diffusion decomposition of graphs for estimating motion from image sequences. Orthonormal… 
Review
2012
Review
2012
Diffusive wavelets on the Spin group
The first part of this article is devoted to a brief review of the results about representation theory of the spin group Spin(m… 
2011
2011
Diffusion Wavelets-Based Analysis on Traffic Matrices
Traffic matrix describes the traffic volumes traversing the network from the input nodes to the exit nodes over a measured period… 
2011
2011
Applications of Diffusion Wavelets
Diffusion wavelets have been constructed on graphs in order to allow an efficient multiscale representation. This MSc thesis… 
2010
2010
Detecting Anomalous Web Browsing via Diffusion Wavelets
Web access logs contain information which can be converted to represent the access history of individual users. A large number of… 
2009
2009
Multiscale Dimensionality Reduction Based on Diffusion Wavelets
Many machine learning data sets are embedded in high-dimensional spaces, and require some type of dimensionality reduction to… 
2007
2007
Nonlinear Approximation of Spatiotemporal Data Using Diffusion Wavelets
We present a multiscale, graph-based approach to 3D image analysis using diffusion wavelet bases, which were presented in [1… 
2005
2005
Value Function Approximation with Diffusion Wavelets and
We investigate the problem of automatically constructing efficient representations or basis functions for approximating value… 
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