Online component markets can be costly for consumers to use, in terms of the time and effort spent understanding the components on offer. This cost of understanding will deter con...
cation at some level of abstraction, abandoning the semantic information provided by the specification. In this paper, we propose a methodology that ships the overhead of formal re...
Kernel Principal Component Analysis (KPCA) is investigated for feature extraction from hyperspectral remotesensing data. Features extracted using KPCA are used to construct the Ex...
Mathieu Fauvel, Jocelyn Chanussot, Jon Atli Benedi...
: This paper presents an approach for defining evaluation criteria for reusable software components. We introduce a taxonomy of factors that influence selection, describe each of t...
Jyrki Kontio, Gianluigi Caldiera, Victor R. Basili
—This paper shows how the relative size of components can be used to increase matching performance – saving orders of magnitude in component area. The relative size information...