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  1. No Access

    Article

    Knowledge transfer via distillation from time and frequency domain for time series classification

    Although deep learning has achieved great success on time series classification, two issues are unsolved. First, existing methods mainly extract features in the single domain only, which means that useful info...

    Kewei Ouyang, Yi Hou, Ye Zhang, Chao Ma, Shilin Zhou in Applied Intelligence (2023)

  2. No Access

    Article

    A robust non-rigid point set registration method based on inhomogeneous Gaussian mixture models

    In this paper, we propose a novel robust non-rigid point set registration method adopting a new probability model called inhomogeneous Gaussian mixture models (IGMM), where we regard one point set as the centr...

    Wanxia Deng, Huanxin Zou, Fang Guo, Lin Lei, Shilin Zhou… in The Visual Computer (2018)

  3. No Access

    Article

    Point-pattern matching based on point pair local topology and probabilistic relaxation labeling

    This paper presents a robust point-pattern matching (PPM) algorithm, in which the invariant feature and probabilistic relaxation labeling are combined to improve the assignment accuracy and efficiency. A local...

    Wanxia Deng, Huanxin Zou, Fang Guo, Lin Lei, Shilin Zhou in The Visual Computer (2018)

  4. No Access

    Article

    Discriminative Subspace Alignment for Unsupervised Visual Domain Adaptation

    We address the problem of unsupervised visual domain adaptation for transferring category models from one visual domain or image data set to another. We present a new unsupervised domain adaptation algorithm b...

    Hao Sun, Shuai Liu, Shilin Zhou in Neural Processing Letters (2016)