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First, the sensitivity term is defined as (13).
Three cases are considered: First, only the sensitivity term among the three features is minimized.
Second, the sensitivity term and the color term are minimized together.
Those misclassified pixels are corrected, when the color term and the sensitivity term are included in the energy minimization.
The average error rate is reduced to 0.51% if the color term is combined with the sensitivity term.
This sensitivity term indicates that, if pixel is labeled or classified as, its sensitivity probability in that class should be higher than that in the other class.
Similar(46)
Based on this observation, we define a new sensitivity, position sensitivity termed, to model this effect (15).
Furthermore numerical aspects are addressed concerning the integration of the constitutive relations and the finite element equilibrium iteration, and additionally the sensitivity terms for parameter identification are derived.
Each set of sensitivity terms consequently comprises 25 × 4 = 100, 24 × 16 = 384 and 23 × 64 = 1472 parameter values for the SN, NN and NNN models, respectively.
Hence, for D/D-duplexes one expects the relative enhancement of the G and A sensitivity terms compared with those in the D/R duplexes in agreement with the observed profiles.
The sensitivity terms additively decompose into "binding- contributions related to the effective free energy of the respective binding- contributions a fluorelatede contoibuthen taking into account baseffectivec labelling [ 20].
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Justyna Jupowicz-Kozak
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