Josue Tago

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A quadratic programming formulation for multiclass image segmentation is investigated. It is proved that, in the convex case, the non-negativity constraint on the recent reported Quadratic Markov Measure Field model can be neglected and the solution preserves the probability measure property. This allows one to design efficient optimization algorithms.(More)
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