Many clustering algorithms fail when dealing with high dimensional data. Principal component analysis (PCA) is a popular dimensionality reduction algorithm. However, it assumes a ...
Current software component models lack compositionality. Most of them also do not have both active and passive components. In this paper, we show how we can define a compositiona...
Abstract. We describe a partial order reduction technique for a realtime component model. Components are described as timed automata with data ports, which can be composed in stati...
Abstract. The creation of distributed applications requires sophisticated compositions, as various components — supporting application logic or non-functional requirements — mu...
Automatic image annotation is a promising solution to enable semantic image retrieval via keywords. In this paper, we propose a multi-level approach to annotate the semantics of n...