Cross-validation is a useful and generally applicable technique often employed in machine learning, including decision tree induction. An important disadvantage of straightforward...
Bundle adjustment is one of the cornerstone to recover the scene structure from a sequence of images. The main drawback of this technique, due to nonlinear optimisation, is the ne...
In this paper, we present a constraint-based approach for selecting and deploying active network components, called proxylets, which execute on servers within the network to perfo...
The small sample size problem is often encountered in pattern recognition. It results in the singularity of the within-class scatter matrix Sw in Linear Discriminant Analysis (LDA...
The 2002 SIGCOMM Workshop on Educational Challenges for Computer Networking [Kur02a] exposed many issues related to teaching computer networking with the need for a laboratory in ...
Michael Erlinger, Mart Molle, Titus Winters, Chris...