Clustering is one of the most widely used statistical tools for data analysis. Among all existing clustering techniques, k-means is a very popular method because of its ease of pr...
We are inevitably moving into a realm where small and inexpensive wireless devices would be seamlessly embedded in the physical world and form a wireless sensor network in order t...
Antonios Deligiannakis, Yannis Kotidis, Nick Rouss...
Existing methods for prediction in spatio-temporal databases assume that objects move according to linear functions. This severely limits their applicability, since in practice mo...
— In this paper, we present a comprehensive energy estimation framework for software executing on Very Long Instruction Word (VLIW) processor cores. The proposed energy model is ...
In this paper, we study the problem of retiming of sequential circuits with both interconnect and gate delay. Most retiming algorithms have assumed ideal conditions for the non-lo...
Chris C. N. Chu, Evangeline F. Y. Young, Dennis K....