We estimate the speed of income convergence for a sample of 196 European NUTS 2 regions over the period 1985-1999. So far there is no direct estimator available for dynamic panels with strong spatial dependencies. We propose a two-step procedure, which involves first spatial filtering of the variables to remove the spatial correlation, and application of standard GMM estimators for dynamic pane...

We propose a person verification method using behavioral patterns of human upper body motion. Behavioral patterns are represented by three-dimensional features obtained from a time-of-flight camera. We take a statistical approach to model the behavioral patterns using Gaussian mixture models (GMM) and support vector machines. We employ the maximum likelihood linear regression adaptation method ...

1 This paper provides a first order asymptotic theory for generalized method of moments (GMM) estimators when the number of moment conditions is allowed to increase with the sample size and the moment conditions may be weak. Examples in which these asymptotics are relevant include instrumental variable (IV) estimation with many (possibly weak or uninformed) instruments and some panel data model...

Dollarization has significant effects on the real sector, monetary policy, and financial system. In this study, of dollarization banks’ performance in Turkey for period 2012-2017 are investigated by using both static dynamic panel data analyses. Our Generalized Method Moments (GMM) results indicate statistical significance negative impact deposit return assets (ROA). Both random regression GMM ...

This paper presents a new voice conversion method called Weighted Frequency Warping (WFW), which combines the well known GMM approach and the frequency warping approach. The harmonic plus stochastic model has been used to analyze, modify and synthesize the speech signal. Special phase manipulation procedures have been designed to allow the system to work in pitch-asynchronous mode. The experime...

A vision based head tracking approach is presented, combining foreground information with an elliptical head model based on the integration of gradient and skin-color information. The system has been developed to detect and robustly track a human head in cluttered workshop environments with changing illumination conditions. A foreground map based on Gaussian Mixture Models (GMM) is used to segm...

This paper exploits the novelty detection technique towards identifying hazardous situations. The proposed system elaborates on the audio part of the PROMETHEUS database which includes heterogeneous recordings and was captured under real-world conditions. Three types of environments were used: smart-home, indoors public space and outdoors public space. The multidomain set of descriptors was for...

This paper motivates the use of Dynamic Mel-Frequency Cepstral Coefficient (DMFCC) feature and combination of DMFCC and MFCC features for robust language and text-independent speaker identification. MFCC feature, modeled on the human auditory system has been the widely used feature for speaker recognition because of its less vulnerability to noise perturbation and little session variability. Bu...

Gaussian Mixture Models (GMMs) has been proposed for off-line signature verification. The individual Gaussian components are shown to represent some global features such as skewness, kurtosis, etc. that characterize various aspects of a signature, and are effective for modeling its specificity. The learning phase involves the use of Gaussian Mixture Model (GMM) technique to build a reference mo...

Automatic speaker recognition (ASR) is based on speech feature vectors, models, and classifiers. To improve the speaker recognition performance, we must affect at least one of these modules. In this paper we propose to use subband spectral centroids (SSCs) as a complementary features with the traditional MFCC features, and a new GMM training algorithm, with the ultimate goal to search the bette...