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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    References

    SHOWING 1-10 OF 98 REFERENCES
    Domain Adaptation From Multiple Sources: A Domain-Dependent Regularization Approach
    • 248
    • Highly Influential
    • PDF
    Domain adaptation for object recognition: An unsupervised approach
    • 874
    • PDF
    Domain Adaptation via Transfer Component Analysis
    • 1,934
    • Highly Influential
    • PDF
    Analysis of Representations for Domain Adaptation
    • 1,013
    • PDF
    Learning With Augmented Features for Supervised and Semi-Supervised Heterogeneous Domain Adaptation
    • 287
    • PDF
    Unsupervised Domain Adaptation by Domain Invariant Projection
    • 297
    • PDF
    Geodesic flow kernel for unsupervised domain adaptation
    • 1,468
    • Highly Influential
    • PDF
    Domain Transfer Multiple Kernel Learning
    • 404
    • PDF
    Connecting the Dots with Landmarks: Discriminatively Learning Domain-Invariant Features for Unsupervised Domain Adaptation
    • 381
    • PDF
    Exploiting Low-Rank Structure from Latent Domains for Domain Generalization
    • 113
    • Highly Influential
    • PDF