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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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2014
2014
Usual text document representations such as tf-idf do not work well in classification tasks for short-text documents and across… 
2014
2014
  • Teng SunHui Tian
  • 2014
  • Corpus ID: 15486054
Diffusion wavelets (DW) transform has been successfully used in Multi-Resolution Analysis (MRA) of traffic matrices because it… 
2012
2012
A novel framework for the online learning of expected cost-to-go functions characterizing wireless networks performance is… 
2011
2011
Diffusion wavelets have been constructed on graphs in order to allow an efficient multiscale representation. This MSc thesis… 
2010
2010
We present a shape description framework that generates a multitude of shape descriptors through a variety of design and… 
2010
2010
Web access logs contain information which can be converted to represent the access history of individual users. A large number of… 
2009
2009
Many machine learning data sets are embedded in high-dimensional spaces, and require some type of dimensionality reduction to… 
2009
2009
We spell out a formal equivalence between the naive Laplacian editing and semi-supervised learning by bi-Laplacian Regularized… 
2007
2007
We present a multiscale, graph-based approach to 3D image analysis using diffusion wavelet bases, which were presented in [1… 
2005
2005
We investigate the problem of automatically constructing efficient representations or basis functions for approximating value…