Abstract. Accurately evaluating statistical independence among random variables is a key component of Independent Component Analysis (ICA). In this paper, we employ a squared-loss ...
Abstract: The Principal Component Analysis (PCA) is a data dimensionality reduction technique well-suited for processing data from sensor networks. It can be applied to tasks like ...
—Real-time systems are increasingly used in dynamic changing environments with variable user needs, hosting real-time applications ranging in number and nature. This paper propos...
Ning Gui, Vincenzo De Florio, Hong Sun, Chris Blon...
Independent Component Analysis is the best known method for solving blind source separation problems. In general, the number of sources must be known in advance. In many cases, pre...
Andreas Sandmair, Alam Zaib, Fernando Puente Le&oa...
Abstract— The number of electronic systems in cars is continuously growing. Electronic systems, consisting of so-called electronic control units (ECUs) interconnected by a commun...
Thomas M. Galla, Dietmar Schreiner, Wolfgang Forst...