Apr 18, 2005 · Abstract: This letter deals with the resolution of the blind source separation problem using the independent component analysis method in ...

Our findings reveal that their results are not precise, and further provide counterexamples to the separability theorem of the PNL mixing ICA problem reported ...

Abstract—This letter deals with the resolution of the blind source separation problem using the independent component analysis method in post-nonlinear ...

This letter deals with the resolution of the blind source separation problem using the independent component analysis method in post-nonlinear mixtures.

In this paper, we conduct a systematic investigation on its identifiability in the two-variable case. We show that this model is identifiable in most cases; by ...

It is shown that this post-nonlinear causal model is identifiable in most cases; by enumerating all possible situations in which the model is not ...

Oct 14, 2022 · Abstract:Unsupervised mixture learning (UML) aims at identifying linearly or nonlinearly mixed latent components in a blind manner.

Abstract—This work studies the model identifiability of a class of post-nonlinear mixture models with dependent latent components, in particular, components ...

In this paper, we conduct a systematic investigation on its identifiability in the two-variable case. We show that this model is identifiable in most cases; by ...

Abstract. Distinguishing causes from effects is an important problem in many areas. In this paper, we propose a very general but well defined nonlinear ...