Active learning SVM with regularization path for image classification

@article{Sun2014ActiveLS,
  title={Active learning SVM with regularization path for image classification},
  author={Fuming Sun and Yan Xu and Jun Zhou},
  journal={Multimedia Tools and Applications},
  year={2014},
  volume={75},
  pages={1427-1442}
}
In classification problems, many different active learning techniques are often adopted to find the most informative samples for labeling in order to save human labors. Among them, active learning support vector machine (SVM) is one of the most representative approaches, in which model parameter is usually set as a fixed default value during the whole learning process. Note that model parameter is closely related to the training set. Hence dynamic parameter is desirable to make a satisfactory… CONTINUE READING

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