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Table 2 Comparisons of recognition accuracies on Sneeze-Cough dataset

From: Recognizing flu-like symptoms from videos

Brief description Prec. % Rec. % Acc. %
cuboid + BoW + χ2 (baseline) 49.5 45.0 30.9
cuboid + AMK I U c S=6 69.5 47.5 39.3
cuboid + AMK I U b S=27 78.7 47.2 43.4
cuboid + AMK I B S=2 50.0 54.3 35.2
cuboid + AMK II 55.3 62.1 41.3
HOGHOF + BoW + χ2 (baseline) 52.6 50.0 34.4
HOGHOF + AMK I U c S=3 63.7 48.3 37.9
HOGHOF + AMK I U b S=27 69.7 40.8 34.6
HOGHOF + AMK I B S=5 60.8 49.2 37.3
HOGHOF + AMK II 58.9 64.4 44.4
  1. Comparisons of recognition accuracies on Sneeze-Cough dataset. Here shorthands of AMK I and II are used for AMK type I and type II kernels, respectively. U c (U b ) refers to the concentric (block) partition scheme in unary extension. B is for binary extension. Note a different accuracy measure of TP TP + FP + FN is used here.