We propose adaptive nonlinear auto-associative modeling (ANAM) based on Locally Linear Embedding algorithm (LLE) for learning intrinsic principal features of each concept separatel...
Mathematical models of physical phenomena are of critical importance in virtually all applications of science and technology. This paper addresses the problem of how to use data to...
Anthony M. D'Amato, Aaron J. Ridley, Dennis S. Ber...
Background: Quantitative knowledge of intracellular fluxes is important for a comprehensive characterization of metabolic networks and their functional operation. In contrast to d...
Target detection in sea clutter is a challenging problem in radar detection, specifically, when the Doppler return of the target and clutter are collocated. Polarization diverse ...
The quality of static phones (e.g. vowels, fricatives, nasals, laterals) generated by articulatory speech synthesizers has reached a high level in the last years. Our goal is to ex...