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Object detection is an important area of research in computer vision. One of the challenges in this domain is to detect objects in real time using the minimum resources possible. In this paper, we describe a robust method for real time object detection that can be used on low-profile hardware and needs little training. This approach is based on a discrete(More)
A new formulation of the optimization problem implementing European market rules for non-convex day-ahead electricity markets is presented, that avoids the use of complementarity constraints to express market equilibrium conditions, and also avoids the introduction of auxiliary binary variables to linearise these constraints. Instead, we rely on strong(More)
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