The accuracy of segmentation rate is up to 89.60%.
The reliability of the algorithm is tested by the wrong segmentation rate.
The corresponding segmentation rate Υ ICE has been plotted in the lower part of the figures.
The correct segmentation rate of Lingwu long jujube is over 92.6% and the running time is 2.1889s.
A variety of experiments involving twenty users showed that a gesture recognition rate reaching 99.6% and a correct segmentation rate surpassing 99.8%.
Additionally, we considered the empirical segmentation rate provided by the last sampling r ̂ [ q max ] in Step 1 of the ICE procedure.
for a minority of cases, the segmentation rate Υ ICE is close to 0.5, meaning that the procedure completely fails to classify the latent process r.
We define this segmentation rate as follows: Υ ICE = 1 T ∑ t = 1 T δ r ̂ [ q max ] ( t ) = r ( t ).
Figure 8 For an i.i.d. and a Markov model of r, MSE of 100 Monte-Carlo realizations sorted by increasing values and corresponding segmentation rate.
In order to improve the accurate segmentation rate of Lingwu long jujubes, this paper comprehensively uses mathematical criterion, mathematical statistical analysis, maximum entropy method, and feature selection to segment the final target objects successfully (Fig. 12).
Figure 6 Depending on η (known by the algorithm), average MSE and segmentation rate Υ I C E. Sources generated from Example 2 with r i.i.d. and parameter λ = 2. (a) T=1000 samples, (b) T=5000 samples, (c) T=10000 samples.
