Abstract. Classifiers based on Gaussian mixture models are good performers in many pattern recognition tasks. Unlike decision trees, they can be described as stable classifier: a s...
Jonas Richiardi, Andrzej Drygajlo, Laetitia Todesc...
This paper presents a methodology for the characterization of spamming strategies based on the identification of spam campaigns. To deeply understand how spammers abuse network re...
Pedro Calais, Douglas Pires, Dorgival Olavo Guedes...
We present upper and lower bounds for the number of iterations performed by the Iterative Closest Point (ICP) algorithm. This algorithm has been proposed by Besl and McKay [4] as ...
Recent advances in linear classification have shown that for applications such as document classification, the training can be extremely efficient. However, most of the existing t...
The identification and management of work dependencies is a fundamental challenge in software development organizations. This paper argues that modularization, the traditional tec...
Marcelo Cataldo, James D. Herbsleb, Kathleen M. Ca...