Computations on two-dimensional arrays such as matrices and images are one of the most fundamental and ubiquitous things in computational science and its vast application areas, bu...
Abstract. Bayesian inference provides a powerful framework to optimally integrate statistically learned prior knowledge into numerous computer vision algorithms. While the Bayesian...
This paper presents a probabilistic algorithm for segmenting and recognizing text embedded in video sequences. The algorithm approximates the posterior distribution of segmentatio...
Abstract. In their EWSN'07 paper [1], Giusti et al. proposed a decentralized wake-up scattering algorithm for temporally spreading the intervals in which the nodes of a wirele...
Luigi Palopoli, Roberto Passerone, Amy L. Murphy, ...
A new framework is presented for both understanding and developing graph-cut based combinatorial algorithms suitable for the approximate optimization of a very wide class of MRFs ...