As one of the most powerful smoothing techniques, deleted interpolation has been widely used in both discrete and semi-continuous hidden Markov model (HMM) based speech recognition systems. For continuous HMMs, most smoothing techniques are carried out on the parameters themselves such as Gaussian mean or covariance parameters. In this paper, we propose to smooth the probability density values ...

This paper deals with a method for adapting a language model created fromwritten-text corpora to spontaneous speech by using a semi-linear interpolation technique. Sizes and topic coverages of spoken language corpora are usually far smaller those of written-text corpora. We propose an approach to adapt a base language model to the styles of spontaneous speech on the basis of the following assum...

Hidden Markov Model is a popular statisical method that is used in continious and discrete speech recognition. The probability density function of observation vectors in each state is estimated with discrete density or continious density modeling. The performance (in correct word recognition rate) of continious density is higher than discrete density HMM, but its computation complexity is very ...

Two polynomial expansions of the time-evolution superoperator to directly integrate Markovian Liouville-von Neumann (LvN) equations for quantum open systems, namely the Newton interpolation and the Faber approximation, are presented and critically compared. Details on the numerical implementation including error control, and on the performance of either method are given. In a rst physical appli...

skeletal abnormalities are most often used to describe defects in the arms or legs that are associated with genes or chromosomes, or that occur due to an event that happens during pregnancy. spider lamb syndrome (sls) is a congenital disorder in sheep breeding that is recognized by some deformities in skeletal system especially in the limbs.a dead day-old cross-breed white lamb with deformed li...

Penalized splines have gained much popularity as a flexible tool for smoothing and semi-parametric models. Two approaches have been advocated: 1) use a B-spline basis, equally-spaced knots and difference penalties (Eilers and Marx, 1996) and 2) use truncated power functions, knots based on quantiles of the independent variable and a ridge penalty (Ruppert, Wand and Carroll, 2003). We compare th...

A semi-automated, non-rigid breast surface registration method is presented that involves solving the Laplace or diffusion equations over undeformed and deformed breast surfaces. The resulting potential energy fields and isocontours are used to establish surface correspondence. This novel surface-based method, which does not require intensity images, anatomical landmarks, or fiducials, is compa...

Air pollution models that can be used to predict pollution concentrations for periods of up to a year are generally semi-empirical/analytic approaches based on Gaussian plumes or puffs. As input, these models typically use either a simple surface-based meteorological observations file or winds from a diagnostic wind-field model. The latter is basically a sophisticated interpolation model making...

We present a novel multiresolution Vortex-In-Cell algorithm using patches of varying resolution. The Poisson equation relating the fluid vorticity and velocity is solved using Fast Fourier Transforms subject to free space boundary conditions. Solid boundaries are implemented using the semi-implicit formulation of Brinkman penalization and we show that the penalization can be carried out as a si...