This paper considers the decomposition of a complex matrix as the product of several sets of semi-unitary matrices and upper triangular matrices in iterative manner. The inner mos...
We propose a kernelized maximal-figure-of-merit (MFoM) learning approach to efficiently training a nonlinear model using subspace distance minimization. In particular, a fixed,...
In video coding systems using adaptive arithmetic coding to compress texture information, the employed symbol probability models need to be retrained every time the coding process...
Kenneth Vermeirsch, Joeri Barbarien, Peter Lambert...
It is now well known that time invariant (TI) linear beamformers, such as the Capon’s beamformer, are only optimal for stationary Gaussian observations whose complex envelope is...
Pascal Chevalier, Abdelkader Oukaci, Jean Pierre D...
— Uncertain data is quite common nowadays in a variety of modern database applications. At the same time, the join operation is one of the most important but expensive operations...