We present a model-based approach to recover the rigid and non-rigid facial motion parameters in video sequences. Our face model is based on anatomically motivated muscle actuator controls to model the articulated non-rigid motion of a human face. The model is capable of generating a variety of facial expressions by using a small number of muscle actuator controls. We estimate rigid and non-rig...

The Levenberg-Marquardt algorithm is one of the most popular algorithms for the solution of nonlinear least squares problems. In this paper, we propose and analyze the global and local convergence results of a novel Levenberg-Marquadt method for solving general nonlinear least squares problems. The proposed algorithm enjoys strong convergence properties (global convergence as well as quadratic ...

Training neural networks to capture an intrinsic property of a large volume of high dimensional data is a difficult task, as the training process is computationally expensive. Input attributes should be carefully selected to keep the dimensionality of input vectors relatively small. Technical indexes commonly used for stock market prediction using neural networks are investigated to determine i...

Dünya genelinde hızla tükenen enerji kaynaklarını korumaya yönelik birtakım tedbirler alınmaktadır. Özellikle ulaşım araçlarında verimliliğinin artırılması amacıyla sürdürülebilir kaynaklarına yönelim giderek artmaktadır. Yapılan bu çalışmada ülkemizdeki demiryolu taşıtlarının son 43 yıldaki hat uzunluğu, yolcu sayısı ve yük miktarı değerleri esas alınarak toplam tüketim miktarları incelenmişti...

Multidimensional scaling is a fundamental problem in data analysis and have a lot of applications. It’s goal is to look for an Euclidean graphic representation of a given set of data in a “low’ dimensional space (generally in IR or IR). This problem can be formulated as a nonlinear global optimization problem. To solve it, a Lenvenberg-Marquardt method is used upon different cost functions. Res...

The present work is aimed at modelling and characterizing viscoelastic materials by means of a time domain technique. A constitutive equation containing internal variables is proposed. The parameter estimation problem is solved in time domain by means of the Levenberg-Marquadt technique. The effectiveness of the time domain estimation is assessed experimentally for three different structres.

Generalized frequency division multiplexing (GFDM) is one of the candidate waveforms beyond 5G for wireless communication. Channel estimation challenging in transmission because inherent interference. It based on a pilot signal that uses Least Square (LS) and Normalized Mean (NLMS) to perform estimation. This paper used Artificial Neural Network (ANN) as channel method, considered novel process...

The thin layer drying process of acerola seeds was analyzed using a flat plate geometry diffusion model, Page's and two-part model proposed based on the equation. These models were fitted to experimental kinetics data for an air flow speed 1.5 m/s, at temperatures 40, 50, 60 70°C, non-linear regression by Levenberg-Marquardt method. used determine coefficients activation energy. predicted resul...

*This research was carried out as part of NWO research project 611-304-019, 'Address: Free University, Department of Economics and Econometrics, De Boelelaan 1105, 1081 HV Amsterdam, The Netherlands. E-mail: [email protected].