Estimation of parameters from image tokens is a central problem in computer vision. FNS, CFNS and HEIV are three recently developed methods for solving special but important cases ...
Wojciech Chojnacki, Michael J. Brooks, Anton van d...
Support Vector Machines (SVMs) have become a popular learning algorithm, in particular for large, high-dimensional classification problems. SVMs have been shown to give most accur...
Abstract-- Great emphasis has been recently given to agentoriented methodologies for the construction of complex software systems. In this paper two approaches for the construction...
This paper studies activity cycle diagrams (ACD) for modeling construction processes using activities as the basic elements. An ACD is obtained by combining the activity cycles of...
— There is not a method for analysing unreplicated factorial designs that performs well for various configurations of number and size of active effects. Moreover, the most popula...