Many computer vision and pattern recognition algorithms are very sensitive to the choice of an appropriate distance metric. Some recent research sought to address a variant of the...
The Wiener model is a versatile nonlinear block oriented model structure for miscellaneous applications. In this paper a method for identifying the parameters of such a model usin...
A Local Linear Embedding (LLE) module enhances the performance of two Evolutionary Computation (EC) algorithms employed as search tools in global optimization problems. The LLE em...
With the increasing gap between processor speed and memory latency, the performance of data-dominated programs are becoming more reliant on fast data access, which can be improved...
Abstract. For many applications, cache misses are the primary performance bottleneck. Even though much research has been performed on automatically optimizing cache behavior at the...