Similarity Learning and Generalization with Limited Data: A Reservoir Computing Approach

Figure 11

Reservoir activity for the single reservoir architecture. (a), (b), (c), (d), and (e) show the differential reservoir activity of nodes over timesteps for input relationships noise, rotated, zoomed, blurred, and different, respectively. (f) shows the output weight matrix() for 50 reservoir nodes. (g) shows activity of a random node for all output labels over timesteps. : 1000; ; sparsity.

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