Dimensionality reduction is an important problem in pattern recognition. There is a tendency of using more and more features to improve the performance of classifiers. However, not...
We consider the robust precoder design for Multi-User Multiple Input Single Output (MU-MISO) systems where the Channel State Information (CSI) is fed back from the single antenna ...
Michael Joham, Paula Maria Castro, Luis Castedo, W...
Tensor based dimensionality reduction has recently been extensively studied for computer vision applications. To our knowledge, however, there exist no rigorous error analysis on ...
Abstract--Motivated by potential applications in second-language pedagogy, we present a novel approach to using articulatory information to improve automatic detection of typical p...