Mixing and non-mixing local minima of the entropy contrast for blind source separation

Autor: Vrins, F., Pham, D. -T., Verleysen, M.

In this paper, both non-mixing and mixing local minima of the entropy are analyzed from the viewpoint of blind source separation (BSS); they correspond respectively to acceptable and spurious solutions of the BSS problem. The contribution of this wor

Externí odkaz: http://arxiv.org/abs/cs/0611106

Nonlinear data projection on non-Euclidean manifolds with controlled trade-off between trustworthiness and continuity

Autor: Onclinx, V., Wertz, V., Verleysen, M.

Publikováno v: In Neurocomputing 2009 72(7):1444-1454

ASAP - A Sub-sampling Approach for Preserving Topological Structures

Autor: Taghribi, Abolfazl, Bunte, Kerstin, Mastropietro, Michele, Rijcke, Sven De, Tino, Peter, Verleysen, M.

Publikováno v: Proceedings of the 28th European Symposium on Artificial Neural Networks (ESANN), 67-72
STARTPAGE=67;ENDPAGE=72;TITLE=Proceedings of the 28th European Symposium on Artificial Neural Networks (ESANN)

Topological data analysis tools enjoy increasing popularity in a wide range of applications. However, due to computational complexity, processing large number of samples of higher dimensionality quickly becomes infeasible. We propose a novel sub-samp

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::25bb4ba12746d7c94cea16f2e3264dc2
https://research.rug.nl/en/publications/0f2a2c28-b355-4c41-8171-eb8e9055a960

Mutual information for the selection of relevant variables in spectrometric nonlinear modelling

Autor: Rossi, F., Lendasse, A., François, D., Wertz, V., Verleysen, M.

Publikováno v: In Chemometrics and Intelligent Laboratory Systems 2006 80(2):215-226

Vector quantization: a weighted version for time-series forecasting

Autor: Lendasse, A. ^*, Francois, D., Wertz, V., Verleysen, M.

Publikováno v: In Future Generation Computer Systems 2005 21(7):1056-1067