On Friday, December 4th 2020, at 16:00pm, the IEEE Signal Processing Society (SPS) Greece Chapter organized an online lecture delivered by Prof. Nikos Sidiropoulos. Dr. N. Sidiropoulos is the Louis T. Rader Professor and Chair of the Electrical and Computer Engineering Department at the University of Virginia. Prof. N. Sidiropoulos is a Fellow of the IEEE and EURASIP, former Vice President of the IEEE SPS and IEEE SPS Distinguished Lecturer and a renowned researcher in the fields of signal processing, communications, optimization, tensor decomposition, and factor analysis, with applications in machine learning and communications. In his talk, Prof. Sidiropoulos presented a new non-parametric approach for multivariate probability density estimation from its characteristic function. The main idea of this approach is to leverage the low-rank structure of the characteristic function tensor model, which significantly improves the density estimate especially for high-dimensional data. The lecture was followed by a discussion between the speaker and the attendants and questions from the audience. The lecture was attended by more than 60 people from academia, postdoctoral researchers and students from all over Greece.
