Abstract. The condition number of a Gram matrix defined by a polynomial basis and a set of points is often used to measure the sensitivity of the least squares polynomial approxim...
We present in this paper a novel method for eliciting the conditional probability matrices needed for a Bayesian network with the help of a neural network. We demonstrate how we c...
It is known that the proportionate normalized least mean square (PNLMS) algorithm outperforms traditional normalized least mean square(NLMS) algorithm, in terms of fast initial co...
We investigate the Semidefinite Programming based Sums of squares (SOS) decomposition method, designed for global optimization of polynomials, in the context of the (Maximum) Sati...
The problem of face identification has received significant attention over the years. For a given probe face, the goal of face identification is to match this unknown face against ...