Unsupervised feature learning with C-SVDDNet

  title={Unsupervised feature learning with C-SVDDNet},
  author={Dong Wang and Xiaoyang Tan},
  journal={Pattern Recognition},
In this paper we present a novel unsupervised feature learning network named C-SVDDNet, a singlelayer K-means-based network towards compact and robust feature representation. Our contributions are three folds: (1) we introduce C-SVDD encoding, a generalization of the K-means local encoding that adapts to the distribution information and improves the robustness against outliers; (2) we propose a method that effectively embeds the spatial information of 2D data into the final representation based… CONTINUE READING
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