Browsing by Author "Si, Si"

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Browsing by Author "Si, Si"

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  • Si, Si; Tao, Dacheng; Geng, Bo (IEEE Computer Soc, 2010)
    The regularization principals [31] lead approximation schemes to deal with various learning problems, e. g., the regularization of the norm in a reproducing kernel Hilbert space for the ill-posed problem. In this paper, ...
  • Si, Si; Liu, W; Tao, Dacheng; Chan, Kwok-Ping (IEEE-inst Electrical Electronics Engineers Inc, 2011)
    Distribution calibration plays an important role in cross-domain learning. However, existing distribution distance metrics are not geodesic; therefore, they cannot measure the intrinsic distance between two distributions. ...
  • Si, Si; Tao, Dacheng; Chan, Kwok-Ping (IEEE-Inst Electrical Electronics Engineers Inc, 2010)
    Is it possible to train a learning model to separate tigers from elks when we have 1) labeled samples of leopard and zebra and 2) unlabelled samples of tiger and elk at hand? Cross-domain learning algorithms can be used ...
  • He, Lihuo; Si, Si; Gao, Xinbo; Tao, Dacheng; Li, X L (World Scientific Publ Co Pte Ltd, 2011)
    Considering that the Human Visual System (HVS) has different perceptual characteristics for different morphological components, a novel image quality metric is proposed by incorporating Morphological Component Analysis ...