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Bernal S D_2010.pdf - University of Plymouth

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5.1. FEEDFORWARD PROCESSING<br />

5.1.2.1 CatcRorization as a function <strong>of</strong> (he number <strong>of</strong> states per group in complex layers<br />

Figure 5,10 shows the categori2ation performance as a function <strong>of</strong> the number <strong>of</strong> states per<br />

group in the CI layer. Kc\Kfoup' while Figure 5.11 shows the categorization performance as a<br />

function <strong>of</strong> the number <strong>of</strong> slates per group in the C2 layer. Kc2^„'iip- Results were obtained for<br />

the 3-level architecture and are plotted for the five test datasets as detailed in the figure legend.<br />

Cigroup<br />

-Normal<br />

-Occluded<br />

-Scaled 10%<br />

-Scaled 20%<br />

-Translated<br />

Figure 5J0: Categorization performance as a function <strong>of</strong> the number <strong>of</strong> slates per group in the<br />

CI layer, K(\gnuip- for the 3-level archilecturc.<br />

203

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