We consider the fitting of normal mixture models to multivariate data, using maximum likelihood via the EM algorithm. This approach requires the specification of an initial estimate of the vector of unknown parameters, or equivalently, of an initial classification of the data with respct to the components of the mixture model under fit. We describe an algorithm called MIXFIT that automatically ...

We propose a method for fitting a piecewise parametric curve to a sequence of digitized points such as those acquired from a computer mouse or digitizing pen. The fitting is done on-the-fly rather than after a complete sequence of points has been acquired, thereby providing high quality parameterized curves for immediate display during drawing. The method is fast, accurate, and robust, handles ...

In this paper, we introduce a soft vector quantization scheme with inverse power-function distribution, and analytically derive an upper bound of the resulting quantization noise energy in comparison to that of typical (hard-deciding) vector quantization. We also discuss the positive impact of this kind of soft vector quantization on the performance of machine-learning systems that include one ...

We present PLTplot, a plotting package for PLT Scheme. PLTplot provides a basic interface for producing common types of plots such as line and vector field plots from Scheme functions and data, an advanced interface for producing customized plot types, and support for standard curve fitting. It incorporates renderer constructors, transformers from data to its graphical representation, as values...

We consider the fitting of normal or t-component mixture models to multivariate data, using maximum likelihood via the EM algorithm. This approach requires the initial specification of an initial estimate of the vector of unknown parameters, or equivalently, of an initial classification of the data with respect to the components of the mixture model under fit. We describe an algorithm called EM...

Retroviral vectors based on the Moloney murine leukemia virus (MoMuLV) have shown inconsistent levels and duration of expression as well as a propensity for the acquisition of de novo methylation in vivo. MoMuLV-based vectors are known to contain sequences that are capable of suppressing or preventing expression from the long terminal repeat. Previously, we constructed a series of modified retr...

Face recognition has received increasing attention from diverse research communities and the market over the past years. Various techniques have been intensively investigated aiming at high recognition accuracy and robustness against numerous facial appearance variations. Application areas of face recognition have also been expanded and more robust systems are required as the application scenar...

Vector Fitting (VF) has been introduced as a partial-fraction basis response fitting methodology for over a decade. Because of its reliability and versatility, VF has been applied and extended to a number of areas. In this book chapter, we will discuss the applications of VF in the context of macromodeling of linear structures in signal/power integrity analyses. We will also discuss main featur...

A new susceptible-infected-susceptible model is researched in this paper, which has an infective vector. And it describes epidemics (e.g. malaria) transmitted through an infective vector (e.g. mosquitoes) on complex networks. We compare the modified model with the standard SIS model having an infective vector. We also study and compare the effects of the uniform immunization and targeted immuni...

Several efficient component and vector filters applicable for processing multichannel and color images are compared quantitatively. The cases of Gaussian and mixed Gaussian and impulsive noise are considered. It is shown that in situations typical for practice the best results are provided by a vector doublewindow modified trimmed mean filter and by a modified sigma filter applied to each compo...