Linear Discriminant Analysis (LDA) has been a popular method for extracting features that preserves class separability. The projection functions of LDA are commonly obtained by max...
Abstract. We show how to use the parallelized kangaroo method for computing invariants in real quadratic function fields. Specifically, we show how to apply the kangaroo method to ...
Abstract. Current trends in software development show a move towards supporting autonomous components (agents). The accurate timing of interactions between such components is growi...
We are in the midst of an explosion of emerging humancomputer interaction techniques that redefine our understanding of both computers and interaction. We propose the notion of Re...
Robert J. K. Jacob, Audrey Girouard, Leanne M. Hir...
Communication overhead is one of the most important factors affecting the performance of message passing multicomputers. We present evidence (through the analysis of several paral...