Abstract. Bayesian inference provides a powerful framework to optimally integrate statistically learned prior knowledge into numerous computer vision algorithms. While the Bayesian...
Abstract— This paper proposes a suboptimal maximum likelihood detection (MLD) algorithm for multiple-input multipleoutput (MIMO) communications. The proposed algorithm regards tr...
Abstract. Most applications of competitive analysis have involved online problems where a candidate on-line algorithm must compete on some input sequence against an optimal o -line...
Abstract. Data mining algorithms are often embedded in more complex systems, serving as the provider of data for internal decision making within these systems. In this paper we add...
Abstract—Many next-generation Internet architectures propose advanced packet processing functions in the data path of the network. Such “services” are typically performed on ...