We present an overview of the biomedical part of the 2010 community-based Signal Separation Evaluation Campaign (SiSEC2010), coordinated by the authors. In addition to the audio ta...
Shoko Araki, Fabian J. Theis, Guido Nolte, Dominik...
Abstract. This paper introduces the audio part of the 2010 communitybased Signal Separation Evaluation Campaign (SiSEC2010). Seven speech and music datasets were contributed, which...
We develop a probabilistic modeling framework for multiway arrays. Our framework exploits the link between graphical models and tensor factorization models and it can realize any ...
The problem of estimating a sparse channel, i.e. a channel with a few non-zero taps, appears in many fields of communication including acoustic underwater or wireless transmissions...
Rad Niazadeh, Massoud Babaie-Zadeh, Christian Jutt...
We propose a framework for blind multiple filter estimation from convolutive mixtures, exploiting the time-domain sparsity of the mixing filters and the disjointness of the sources...
Most of audio source separation methods are developed for a particular scenario characterized by the number of sources and channels and the characteristics of the sources and the m...
We describe in this paper an advanced protocol for the discrimination and the classification of neuronal spike waveforms within multichannel electrophysiological recordings. Sparse...
Vincent Vigneron, Hsin Chen, Yen-Tai Chen, Hsin-Yi...
Abstract. In recent years, there has been a great deal of work in modeling audio using non-negative matrix factorization and its probabilistic counterparts as they yield rich model...
In this work we present a method for the estimation of a rank-one pattern living in two heterogeneous spaces, when observed through a mixture in multiple observation sets. Using a ...
Ronald Phlypo, Nisrine Jrad, Bertrand Rivet, Marco...
Two-photon calcium imaging is an emerging experimental technique that enables the study of information processing within neural circuits in vivo. While the spatial resolution of th...
Eva L. Dyer, Marco F. Duarte, Don H. Johnson, Rich...