Analytical reconstruction of 3D curves from their stereo images is an important issue in computer vision. We present an optimization framework for such a problem based on a nonuniform rational B-spline (NURBS) curve model that converts reconstruction of a 3D curve into reconstruction of control points and weights of a NURBS representation of the curve, accordingly bypassing the error-prone poin...

Cooperative relay systems have become an active area of research during recent years since they help cellular networks to enhance data rate and coverage. In this paper we develop a method to jointly optimize precoding matrices for amplify-and-forward relay station and base station. Our objective is to increase max–min SINR fairness within co-channel users in a cell. The main achievement of this...

This paper introduces a new method of registering point sets. The registration error is directly minimized using general-purpose nonlinear optimization (the Levenberg-Marquardt algorithm). The surprising conclusion of the paper is that this technique is comparable in speed to the special-purpose ICP algorithm which is most commonly used for this task. Because the routine directly minimizes an e...

It is commonly known that the Mean Square Error (MSE) does not accurately reflect the subjective image quality for most video enhancement tasks. Among the various image quality metrics, Structural Similarity metric provides remarkably good prediction of the subjective scores. In this paper a new registration method based on contribution of structural similarity measurement to the well known Luc...

In this paper, we develop and demonstrate a new 2 order two-stage algorithm called OWO-Newton. First, two-stage algorithms are motivated and the Gauss Newton input weight Hessian matrix is developed. Block coordinate descent is used to apply Newton’s algorithm alternately to the input and output weights. Its performance is comparable to Levenberg-Marquardt and it has the advantage of reduced co...

The modern-day urban energy sector possesses the integrated operation of various microgrids located in a vicinity, named cluster microgrids, which helps to reduce utility grid burden. However, these require precise electric load projection manage operations, as multiple leads dynamic demand. Thus, forecasting is complicated that requires more than statistical methods. There are different machin...

Abstract We consider the optimistic bilevel optimization problem, known to have a wide range of applications in engineering, that we transform into single-level problem by means lower-level optimal value function reformulation. Subsequently, based on partial calmness concept, build an equation system, which is parameterized corresponding exact penalization parameter. then design and analyze Lev...

The ICP algorithm has been extensively used in computer vision for registration and tracking purposes. The original formulation of this method is restricted to the use of non-articulated models. A straightforward generalisation to articulated structures is achievable through the joint minimisation of all the structure pose parameters, for example using Levenberg-Marquardt (LM) optimisation. How...

Breast cancer diagnosis has been approached by various machine learning techniques for many years. This paper presents a study on classification of Breast cancer using Feed Forward Artificial Neural Networks. Back propagation algorithm is used to train this network. The performance of the network is evaluated using Wisconsin breast cancer data set for various training algorithms. The highest ac...