Abstract--In order to release the growing demand for computational complexity with respect to increasing information sequence length in the priority-first search decoding algorithm...
Shin-Lin Shieh, Po-Ning Chen, Yunghsiang S. Han, T...
Abstract. Bayesian inference provides a powerful framework to optimally integrate statistically learned prior knowledge into numerous computer vision algorithms. While the Bayesian...
Ultrasound images are corrupted by a multiplicative noise, the speckle, which makes high level analysis difficult. Within each resolution cell a number of elementary scatterers re...
Probabilistic inference techniques can be used to estimate variable bias, or the proportion of solutions to a given SAT problem that fix a variable positively or negatively. Metho...
— Recently, research on disconnected networks has been fostered by several studies on delay-tolerant networks, which are designed in order to sustain disconnected operations. We ...
Francesco De Pellegrini, Daniele Miorandi, Iacopo ...