Modern high-performance architectures require extremely accurate branch prediction to overcome the performance limitations of conditional branches. We present a framework that cat...
In this paper, we will study semantics that have been used for conditionals in the area of knowledge representation and reasoning: A purely qualitative semantics based on the popu...
Recent studies have shown the potential benefits of leveraging resources for resource-rich languages to build tools for similar, but resource-poor languages. We examine what const...
The computer model of visual attention derives an interest or saliency map from an input image in a process that encompasses several data combination steps. While several combinati...
This paper presents a novel method for enabling a robot to determine the position of a sound source in three dimensions using just two microphones and interaction with its environm...