Scatter Component Analysis: A Unified Framework for Domain Adaptation and Domain Generalization

@article{Ghifary2017ScatterCA,
  title={Scatter Component Analysis: A Unified Framework for Domain Adaptation and Domain Generalization},
  author={Muhammad Ghifary and D. Balduzzi and W. Kleijn and M. Zhang},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  year={2017},
  volume={39},
  pages={1414-1430}
}
  • Muhammad Ghifary, D. Balduzzi, +1 author M. Zhang
  • Published 2017
  • Computer Science, Mathematics, Medicine
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • This paper addresses classification tasks on a particular target domain in which labeled training data are only available from source domains different from (but related to) the target. [...] Key Method SCA is based on a simple geometrical measure, i.e., scatter, which operates on reproducing kernel Hilbert space.Expand Abstract
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