In this paper, we present a technique that generalizes 3D building groups of virtual 3D city models according to a cell structure that is derived from infrastructure networks. In ...
Previous object code compression schemes have employed static and semiadaptive compression algorithms to reduce the size of instruction memory in embedded systems. The suggestion ...
—Energy optimization is a significant component of Wireless Sensor Network (WSN) design. In this paper we consider transmission energy optimization in WSNs where messages are co...
This Chapter presents the PASCAL1 Evaluating Predictive Uncertainty Challenge, introduces the contributed Chapters by the participants who obtained outstanding results, and provide...
This perspective paper explores principles of unsupervised learning and how they relate to face recognition. Dependency coding and information maximization appear to be central pr...