Abstract. Bayesian inference provides a powerful framework to optimally integrate statistically learned prior knowledge into numerous computer vision algorithms. While the Bayesian...
It is possible to broadly characterize two approaches to probabilistic modeling in terms of generative and discriminative methods. Provided with sufficient training data the discr...
Abstract.We introduce the notion of distributed password-based publickey cryptography, where a virtual high-entropy private key is implicitly dened as a concatenation of low-entrop...
Recent years have seen the evolution of networks of tiny low power computing blocks, known as sensor networks. In one class of sensor networks, a non-expert user, who has little o...
Answer Set Programming (ASP) is a powerful paradigm of logic programming for non-monotonic reasoning. However, the restriction of “grounded range-restricted function-free normal ...