Active learning to recognize multiple types of plankton
Tong Luo, Kurt Kramer, Scott A. Samson, Andrew Remsen, Dmitry B. Goldgof, Lawrence Hall, T. L. Hopkins · Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004. · 2004
Active learning has been applied with support vector machines to reduce the data labeling effort in pattern recognition domains. However, most of those applications only deal with two class problems. In this paper, we extend the active learning approach to multiple class support vector machines. The experimental results from a plankton recognition system indicate that our approach often requires significantly less labeled images to maintain the same accuracy level as random sampling.