This paper examines the performance of several source separation systems on a speech separation task for which human intelligibility has previously been measured. For anechoic mixt...
Michael I. Mandel, S. Bressler, Barbara G. Shinn-C...
In this paper, we show that the standard point of view of the neuroimaging community about fMRI time series alignment should be revisited to overcome the bias induced by activation...
To address the problem of algorithm selection for the classification task, we equip a relational case base with new similarity measures that are able to cope with multirelational ...
— In this paper, a novel approach for parallel kinematic machine control relying on a fast exteroceptive measure is implemented and validated on the Orthoglide robot. This approa...
Flavien Paccot, Philippe Lemoine, Nicolas Andreff,...
In previous work, we proposed a unique landmark-based map learning method for mobile robots based on the “co-visibility” information i.e., very coarse qualitative information o...