In this paper, we use complex analytic functions to achieve independent component analysis (ICA) by maximization of non-Gaussianity and introduce the complex maximization of nonGau...
In this paper we present a prototype enterprise information run-time heavily inspired by the fundamental principles of autonomic computing. Through self-configuration, selfoptimi...
In this paper we introduce the MeanNN approach for estimation of main information theoretic measures such as differential entropy, mutual information and divergence. As opposed to...
A new gradient technique is introduced for linear ICA based on the Edgeworth expansion of mutual information, for which the algorithm operates sequentially using fixed-point itera...
We derive an asymptotic Newton algorithm for Quasi Maximum Likelihood estimation of the ICA mixture model, using the ordinary gradient and Hessian. The probabilistic mixture frame...
Jason A. Palmer, Scott Makeig, Kenneth Kreutz-Delg...