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7.4

Experiments

The following experiments illustrate the procedure for learning the optimal from one exemplary instance and demonstrate the use of the learned estimate to the recognition of other scenes and models. The experiments are conducted as two parts: (1) Given one triplet as the exemplary instance, compute the optimal for it; (2) then use the estimated to recognize other scenes and models. The non-parametric learning algorithm is used for (1) because the data size is too small to assume a significant distribution. Convergence properties of the algorithm are also shown.