This article describes the construction of a Knowledge Management System (KMS) by applying fundamental concepts and principles of Software Engineering, such as process, models, me...
The 3D object recognition from a single or multiple 2D images is a very important problem in the computer vision field with a wide range of real applications. Considering the affi...
Reduced rank regression (RRR) has found application in various fields of signal processing. In this paper we propose a novel extension of the RRR model which we call sparse varia...
Generative model learning is one of the key problems in machine learning and computer vision. Currently the use of generative models is limited due to the difficulty in effective...
Use cases have achieved wide use as specification tools for systems observable behavior, but there still remains a large gap between specifying behavior and determining the softwar...