Abstract. Most correlation clustering algorithms rely on principal component analysis (PCA) as a correlation analysis tool. The correlation of each cluster is learned by applying P...
Topographic paper maps are a common support for geographical information. In the field of document analysis of this kind of support, this paper proposes an automatic approach to ...
Joachim Pouderoux, Jean-Christophe Gonzato, A. Per...
In this paper we describe the analysis component of an indoor, real-time, multi-camera surveillance system. The analysis includes: (1) a novel feature-level foreground segmentatio...
In this paper, we introduce Static Execute After (SEA) relationship among program components and present an efficient analysis algorithm. Our case studies show that SEA may appro...
The use of biologically inspired, feature extraction methods has improved the performance of artificial systems that try to emulate some aspect of human communication. Recent tech...