Patrick Carlos

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Multiagent systems are often characterized by complex, and sometimes unpredictable interactions amongst their autonomous components. While these systems can provide robust and scalable solutions to a variety of problems, the inherent complexity presents a barrier to their analysis, understanding, debugging and modification. In the work presented here, we(More)
Recorded images are usually contaminated by blur and noise. The restoration of such altered images is an ill-posed problem. Even if the blur is known, the unknown noise leads to uncertainty in the restored image. The naive restoration approach fails since it contains a lot of noise at high frequencies that destroys the computed restored image. To remedy(More)
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