ABSTRACT: In the context of Internet-based applications where heterogeneous, legacy entities should integrate and cooperate, the efficiency of the software production process is a ...
Principal Component Analysis (PCA) is a basis transformation to diagonalize an estimate of the covariance matrix of input data and, the new coordinates in the Eigenvector basis ar...
Abstract. The secure deployment of components is widely recognized as a crucial problem in component-based software engineering. While major effort is concentrated on preventing ma...
Software development in general and groupware applications in particular can greatly benefit from the reusability and interoperability aspects associated with software components....
Abstract— In this paper, we propose a new nonlinear principal component analysis based on a generalized correlation function which we call correntropy. The data is nonlinearly tr...