In this paper, the discrete method of eigenvectors of covariance matrix has been used to weight minimization of steel frame structures. Eigenvectors of Covariance Matrix (ECM) algorithm is a robust and iterative method for solving optimization problems and is inspired by the CMA-ES method. Both of these methods use covariance matrix in the optimization process, but the covariance matrix calcula...

The principal frame and principal quadric form a fundamental description of a smooth surface at a point. This paper is concerned with estimating these from the 3D data acquired by a sensor such as a structured light system. Eight diierent estimation methods are described and a comparison of their performance is presented.

This paper explores principal-principal conflicts in corporate governance during times of economic crisis. We address the question: What external and internal governance mechanisms can best protect minority shareholders? Drawing on 877 publicly listed large corporations with concentrated ownership in seven Asian countries and regions, we compare different control structures between family firms...

The widely adopted K-means clustering algorithm uses a sum of squared error objective function. A detailed analysis shows the close relationship between K-means clustering and principal component analysis (PCA) which is extensively utilized in unsupervised dimension reduction. We prove that the continuous solutions of the discrete K-means clustering membership indicators are the data projection...

Many challenging computer vision problems can be formulated as a multilinear model. Classical methods like principal component analysis use singular value decomposition to infer model parameters. Although it can solve a given problem easily if all measurements are known this prerequisite is usually violated for computer vision applications. In the current work, a standard tool to estimate singu...

context:  medical waste(mw) is all waste materials generated at health care facilities. mw mw naturally is hazardous for environment and subsequently for human.waste minimization (wm) is the latest alternative for risk reduction. all hospital staff generally and nurses specially can play an active role through education and the implementation of measures to reduce medical wastage and their envi...

In this paper, a face recognition system for personal identification and verification using Principal Component Analysis (PCA) with Modified Back Propagation Neural Networks (MBPNN) is proposed. The dimensionality of face image is reduced by the PCA and the recognition is done by the MBPNN. The system consists of a database of a set of facial patterns for each individual. The characteristic fea...