Distance bounding protocols are used by nodes in wireless networks for the crucial purpose of estimating their distances to other nodes. Past efforts to analyze these protocols hav...
Visualization plays an important role in social networks analysis to explore and investigate individual and groups behaviours. Therefore, different approaches have been proposed f...
Maria Chiara Caschera, Fernando Ferri, Patrizia Gr...
Abstract. Bayesian reinforcement learning (RL) is aimed at making more efficient use of data samples, but typically uses significantly more computation. For discrete Markov Decis...
As it becomes increasingly viable to capture, store, and share large amounts of image and video data, automatic image analysis is crucial to managing visual information. Many prob...
This paper proposes a distributed Canny edge detection algorithm which can be mapped onto multi-core architectures for high throughput applications. In contrast to the conventiona...