We present the concept of a scaled random segmental model, which aims to overcome the modeling problem created by the fact that segment realizations of the same phonetic unit di er in length. In the scaled model the variance of the random mean trajectory is inversely proportional to the segment length. The scaled model enables a Baum-Welch type parameter reestimation, unlike the previously sugg...

A new regularization method-a scaled rotation-is proposed and compared with the standard linear regularized discriminant analysis. A sense of the method consists in the singular value decomposition S‫؍‬TDT of a sample covariance matrix S and a use of the following representation of an inverse of the covariance matrix S\"T?(D#I)\T?. For certain data structures the scaled rotation helps to reduce...

This paper presents a technique to evaluate the fracture parameters by combining the edge based smoothed finite element method (ESFEM) and the scaled boundary finite element method (SBFEM). A semi-analytical solution is sought in the region close to the vicinity of the crack tip using the SBFEM, whilst, the ESFEM is used for the rest of the domain. As both methods satisfy the partition of unity...

This paper discusses the class of isospectral ows X X A X where denotes the Hadamard product and is the Lie bracket The presence of A allows arbitrary and independent scaling for each element in the matrix X The time mapping of the scaled Toda like ow still enjoys a QR like iteration The scaled structure includes the classical Toda ow Brockett s double bracket ow and other interesting ows as sp...