Winner-take-all


 * Winner-take-all connotates also the principle of the Plurality voting system. This article is about the computational principle.

In the theory of artificial neural networks winner-take-all networks are a case of competitive learning in recurrent neural networks. Output nodes in the network inhibit each other and activate themselves through reflexive connections. After some time, only one node in the output layer will be active.

In Stereo Matching algoritms, following the taxonomy proposed by Scharstein et al (IJCV 2002), winner-take-all is a local method for disparity computation. Adopting a winner-take-all strategy, the disparity associated with the minimum|maximum cost value is selected at each pixel.