Active learning for image retrieval with Co-SVM

@article{Cheng2007ActiveLF,
  title={Active learning for image retrieval with Co-SVM},
  author={Jian Cheng and Kongqiao Wang},
  journal={Pattern Recognition},
  year={2007},
  volume={40},
  pages={330-334}
}
In relevance feedback algorithms, selective sampling is often used to reduce the cost of labeling and explore the unlabeled data. In this paper, we proposed an active learning algorithm, Co-SVM, to improve the performance of selective sampling in image retrieval. In Co-SVM algorithm, color and texture are naturally considered as sufficient and uncorrelated views of an image. SVM classifiers are learned in color and texture feature subspaces, respectively. Then the two classifiers are used to… CONTINUE READING

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