In this paper we present a mixture density based approach to invariant image object recognition. We start our experiments using Gaussian mixture densities within a Bayesian classi...
Classifier combination is a powerful strategy to support useful solutions in difficult classification problems. Notwithstanding, the effectiveness of a multi-classifier system str...
Giuseppe Pirlo, Donato Impedovo, Claudia Adamita T...
This paper deals with a new iterative Network Anomaly Detection Algorithm – NADA, which accomplishes the detection, classification and identification of traffic anomalies. NADA f...
Silvia Farraposo, Philippe Owezarski, Edmundo Mont...
Abstract. Non-functional requirements (NFRs) of software systems are an important source of uncertainty in effort estimation. Furthermore, quantitatively approaching NFR early in a...
Mohamad Kassab, Olga Ormandjieva, Maya Daneva, Ala...
Our physical bodies play a central role in shaping human experience in the world, understanding of the world, and interactions in the world. This paper draws on theories of embodi...