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These methods are labeled as narrow banding methods.
In Figure 1 the methods are labeled according to the type of graph underlying the calculation step.
Supervised and semi-supervised methods are labeled 'SVM' followed by the percentage of labeled data (10, 30, 50, 70, 90, 100%).
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The different methods are labelled on the vertical axis.
Cases where single neuron clones were obtained using this method are labeled with red numbers.
The design of using two qualitative data collection methods is labelled a mixed-/mono-method.
The number of detections inside each of the submatrices for the respective method is labeled by hm, sm, and cm.
In the following, the MT method is labeled as MTK(Δ t,Δ f), where K is the number of tapers, Δ t,Δ f are the time- and frequency bandwidths, respectively, and the standard single Hanning window is labeled as H1(Δ t,Δ f).
Even though this method is labeled as a "cold soak," the water and alcohol should actually be at room temperature.
A common name for such methods is label correcting, emanating from shortest path methods in graph networks [35, 36].
Figures 5 to 11 show sample results where results of the method in [1] are labeled reference method 1, and results for the method in [2] are labeled reference method 2. Table 1 Test sequences (total of 1855 frames) used in simulations.
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