Principal components analysis (PCA) is one of the most widely used techniques in machine learning and data mining. Minor components analysis (MCA) is less well known, but can also...
Max Welling, Felix V. Agakov, Christopher K. I. Wi...
Abstract. We propose a distributed coalition formation strategy for collaborative sensing tasks in camera sensor networks. The proposed model supports taskdependent node selection ...
The state of the practice in object-oriented software development has moved beyond reuse of code to reuse of conceptual structures such as design patterns. This paper draws attenti...
Distributed decision making in networked systems depends critically on the timely availability of critical fresh information. Performance of networked systems, from the perspective...
We have developed a digital city for Kyoto, the old capital and cultural center of Japan, as a social information infrastructure for urban everyday life including shopping, busines...