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We study the interactions between two atomic species in a binary Bose-Einstein condensate to revisit the conditions for miscibility, oscillatory dynamics between the species, steady-state solutions, a...
Due to space limitations, our submission "Source Separation and Clustering of Phase-Locked Subspaces", accepted for publication on the IEEE Transactions on Neural Networks in 2011, presented some resu...
We define and discuss the first sparse coding algorithm based on closed-form EM updates and continuous latent variables. The underlying generativemodel consists of a flexibly parameterized ‘spike-an...
An error occurred in the computation of a gradient in [1]. The equa- tions (20) in Appendix and (17) in the text were not correct. The current paper presents the correct version of these equations.
The suggested ordering of estimators uses the separation measure between the population with true and estimated values of parameter. It allows us ta choose one estimator as better in the cases wher...
Rao (1979) established separation theorems for singular values of a matrix and showed their applications in multivariate analysis. In this paper, we provide generalized separation theorems for sing...
In this article, we develop an algorithm for probabilistic and constrained projection pursuit. Our algorithm called ADIS (automated decomposition into sources) accepts arbitrary non-linear contrast ...
We present a particle filter construction for a system that exhibits time scale separation. The separation of time scales allows two simplifications that we exploit: i) the use of the averaging pri...
We study an efficient dynamic blind source separation algorithm of convolutive sound mixtures based on updating statistical information in the frequency domain, and minimizing the support of time do...

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