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Figure 2
The two different neighborhood assignments indicated by the black lines have the same likelihood. Assignment A, which `connects' neighbors, is clearly preferred to assignment B. An additional `contiguity constraint' is required to distinguish between these two assignments. The circle perimeters represent the `true' data manifold, the red dots represent the model images [{\bf y}(x_k)] and the black lines represent the neighborhood assignments.

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