This paper deals with broadcasting in a network with t-locally bounded Byzantine faults. One of the simplest broadcasting algorithms under Byzantine failures is referred to as a c...
Graphical models such as Bayesian Networks (BNs) are being increasingly applied to various computer vision problems. One bottleneck in using BN is that learning the BN model param...
Previous studies have witnessed that complex brain networks have the properties of high global and local efficiency. In this study, we investigated the gender effect on brain funct...
Higher level semantics are considered useful in the geospatial domain, yet there is no general consensus on the form these semantics should take. Indeed, knowledge representation p...
Abstract. We propose a brain-computer interface (BCI) system for evolving images in realtime based on subject feedback derived from electroencephalography (EEG). The goal of this s...