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Table 5 The classification results of multiple view features using MKL with three kinds of kernel

From: Automatic plankton image classification combining multiple view features via multiple kernel learning

Datasets C Gaussian+Polynomial+Linear
   R 1−P F measure
WHOI 1 89.64% 10.17% 0.897
  10 89.88% 10.03% 0.899
  100 90% 9.91% 0.9
ZooScan 1 85.42% 11.38% 0.87
  10 88.34% 9.58% 0.894
  100 88.31% 9.81% 0.892
Kaggle 1 80.3% 16.12% 0.82
  10 83.67% 14.49% 0.846
  100 83.46% 14.88% 0.843
  1. The entries in boldface indicate the best classification results with the highest F measure