3 papers
cs.IT2005
An invariant bayesian model selection principle for gaussian data in a sparse representation
Eirik Fossgaard
We develop a code length principle which is invariant to the choice of parameterization on the model distributions. An invariant approximation formula for easy computation of the m…
math.NA1999
Alternative Local Discriminant Bases Using Empirical Expectation and Variance Estimation
Eirik Fossgaard
We propose alternative discriminant measures for selecting the best basis among a large collection of orthonormal bases for classification purposes. A generalization of the Local D…
cs.MS1999
Fast Computational Algorithms for the Discrete Wavelet Transform and Applications of Localized Orthonormal Bases in Signal Classification
Eirik Fossgaard
We construct an algorithm for implementing the discrete wavelet transform by means of matrices in SO_2(R) for orthonormal compactly supported wavelets and matrices in SL_m(R), m >…