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CORR
2006
Springer
146views Education» more  CORR 2006»
13 years 8 months ago
The Haar Wavelet Transform of a Dendrogram
While there is a very long tradition of approximating a data array by projecting row or column vectors into a lower dimensional subspace the direct approximation of a data matrix ...
Fionn Murtagh

Book
3743views
15 years 6 months ago
Image processing and data analysis: The multiscale approach
"There is a very large literature on the theoretical underpinnings of the wavelet transform. However, theory must be complemented with a significant amount of practical work...
Jean-Luc Starck, Fionn Murtagh, Albert Bijaoui
ICIP
2005
IEEE
14 years 10 months ago
Image fusion using a new framework for complex wavelet transforms
Image fusion is the process of extracting meaningful visual information from two or more images and combinining them to form one fused image. Image fusion is important within many...
Paul R. Hill, David R. Bull, Cedric Nishan Canagar...
ICIP
2001
IEEE
14 years 10 months ago
A directional, shift insensitive, low-redundancy, wavelet transform
Shift variance and poor directional selectivity, two major disadvantages of the discrete wavelet transform, have previously been circumvented either by using highly redundant, non...
Rutger L. van Spaendonck, Felix C. A. Fernandes, S...
ICML
2007
IEEE
14 years 9 months ago
Adaptive mesh compression in 3D computer graphics using multiscale manifold learning
This paper investigates compression of 3D objects in computer graphics using manifold learning. Spectral compression uses the eigenvectors of the graph Laplacian of an object'...
Sridhar Mahadevan