We consider principal component analysis (PCA) in decomposable Gaussian graphical models. We exploit the prior information in these models in order to distribute its computation. ...
In this paper, we propose a method for speeding-up Digital Signal Processing applications by partitioning them between the reconfigurable hardware blocks of different granularity ...
Michalis D. Galanis, Athanasios Milidonis, Athanas...
We present a hardware and software platform for rapid prototyping of augmented sensor network systems, which may be temporarily connected to a backend infrastructure for data stora...
Frank Siegemund, Friedemann Mattern, Jan Beutel, K...
We propose a method that computes a conformal mapping from a multiply connected mesh to the so-called slit domain, which consists of a canonical rectangle or disk in which 3D curve...
Yalin Wang, Xianfeng Gu, Tony F. Chan, Paul M. ...
— Non-negative Matrix factorization (NMF) has increasingly been used as a tool in signal processing in the last couple of years. NMF, like independent component analysis (ICA) is...