Many techniques for increasing the amount of instruction-level parallelism (ILP) put increased pressure on the registers inside a CPU. These techniques allow for more operations t...
Jason Hiser, Steve Carr, Philip H. Sweany, Steven ...
Partitioning a large set of objects into homogeneous clusters is a fundamental operation in data mining. The k-means algorithm is best suited for implementing this operation becau...
Combinations of evolutionary based approaches with local search have provided very good results for a variety of scheduling problems. This paper describes the development of such a...
With physical attacks threatening the security of current cryptographic schemes, no security policy can be developed without taking into account the physical nature of computation....
Image segmentation is an important process of image analysis. Most of the published approaches for image segmentation need to set appropriate parameter values to cope with the unc...