Local mixture models have proved useful in many statistical applica­ tions. This paper looks at ways in which the local assumption, which is used in an asymptotic approximation, can be relaxed in order to generate a much larger class of models which still have the very attractive geometric and inferential properties of local mixture models. The tool used to develop this large class of models is...

We consider estimation and conndence regions for the parameters and based on the observations is known up to a constant. We study the asymptotic performance of the estimators deened as the maximum likelihood estimator under the assumption that Z 1 ; : : :; Z n is a random sample from a completely unknown distribution. These estimators are shown to be asymptotically eecient in the semi-parametri...

A vital task in sports video annotation is to detect and segment areas of the playfield. This is an important first step in player or ball tracking and detecting the location of the play on the playfield. In this paper we present a technique using statistical models, Gaussian mixture models (GMMs) and Maximum a Posteriori (MAP) adaptation. This involves first creating a generic model of the pla...