Abstract. This paper proposes a statistical model of functional landmarks delimiting low level visual areas which are highly variable across individuals. Low level visual areas are...
Isabelle Corouge, Michel Dojat, Christian Barillot
Many component models have been proposed to address the challenge of reducing software development time and costs. Such models often offer similar functionality. We study how deve...
Background: Data from metabolomic studies are typically complex and high-dimensional. Principal component analysis (PCA) is currently the most widely used statistical technique fo...
Gift Nyamundanda, Lorraine Brennan, Isobel Claire ...
Global color characterization is a very powerful tool to model in a simple yet discriminant way the visual appearance of complex objects. A fixed reference model of this type can ...
As the Web becomes a platform for implementing complex B2C and B2B applications, there is a need to extend Web conceptual modeling to process-centric applications. In this context,...
Marco Brambilla, Alin Deutsch, Liying Sui, Victor ...