The widespread use of ontologies to associate semantics with data has resulted in a growing interest in the problem of learning predictive models from data sources that use differe...
— In this paper, we study the problem of distributed detection in the presence of unknown carrier frequency offset (CFO) and initial phase, the issue we encounter in the emerging...
In this paper, we propose a visual hull algorithm, which guarantees a correct construction even in the presence of partial occlusion, while “correct” here means that the real ...
Binary segmentation, a problem of extracting foreground objects from the background, often arises in medical imaging and document processing. Popular existing solutions include Ex...
A significant problem encounteredwhen building Augmented Reality (AR) systems is that all spatial knowledge about the world has uncertainty associated with it. This uncertainty m...
Enylton Machado Coelho, Blair MacIntyre, Simon Jul...