Pit Pattern Classification in Colonoscopy using Wavelets - WaveLab
Pit Pattern Classification in Colonoscopy using Wavelets - WaveLab
Pit Pattern Classification in Colonoscopy using Wavelets - WaveLab
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4.4 <strong>Classification</strong><br />
ν = 2 b with b l ≤ b ≤ b u and b, b l , b u ∈ Z (4.64)<br />
where a l and a u are the lower and the upper bound for parameter a and b l and b u are the<br />
lower and the upper bound for parameter b. In our implementation the parameter ν is limited<br />
by 1 [9], thus we set b u = 0.<br />
From equations (4.63) and (4.64) it is clear that <strong>in</strong> our implementation the grid search is<br />
not optimal at all s<strong>in</strong>ce it suffers from a high granularity because a ∈ Z and b ∈ Z. It is<br />
therefore quite possible that the best choices for γ and ν are not <strong>in</strong> Z but <strong>in</strong> R. For the sake<br />
of speed and simplicity however we use the naive and faster approach and simply iterate<br />
over values out of Z regardless of the possibility to miss the best possible choices for γ and<br />
ν.<br />
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