![Loading...](https://link.springer.com/static/c4a417b97a76cc2980e3c25e2271af3129e08bbe/images/pdf-preview/spacer.gif)
-
Chapter and Conference Paper
Super-Gaussian Mixture Source Model for ICA
We propose an extension of the mixture of factor (or independent component) analyzers model to include strongly super-gaussian mixture source densities. This allows greater economy in representation of densiti...
-
Chapter and Conference Paper
Modeling and Estimation of Dependent Subspaces with Non-radially Symmetric and Skewed Densities
We extend the Gaussian scale mixture model of dependent subspace source densities to include non-radially symmetric densities using Generalized Gaussian random variables linked by a common variance. We also in...
-
Chapter and Conference Paper
Probabilistic Formulation of Independent Vector Analysis Using Complex Gaussian Scale Mixtures
We propose a probabilistic model for the Independent Vector Analysis approach to blind deconvolution and derive an asymptotic Newton method to estimate the model by Maximum Likelihood.
-
Chapter and Conference Paper
Strong Sub- and Super-Gaussianity
We introduce the terms strong sub- and super-Gaussianity to refer to the previously introduced class of densities log-concave is x 2 and log-convex in x 2 respectively. We derive r...
-
Chapter
Engineering of Adipose Tissue
White adipose tissue (WAT) has traditionally been considered to be an organ of energy storage, thermal insulation, and mechanical support [108].
-
Chapter and Conference Paper
Contrast Functions for Independent Subspace Analysis
We consider the Independent Subspace Analysis problem from the point of view of contrast functions, showing that contrast functions are able to partially solve the ISA problem. That is, basic ICA can solve the...