Skip to main content

and
  1. No Access

    Chapter and Conference Paper

    Sliding Covariance Matrix: Co-learning Spatiotemporal Geometry Feature for Skeleton Based Action Recognition

    The covariance matrix is a generic feature representation in vision applications. It can accurately and efficiently capture geometric features of Riemannian manifold especially in the condition of data size is...

    Guan Huang, Qiuyan Yan, Guan Yuan in Web Information Systems and Applications (2020)

  2. No Access

    Chapter and Conference Paper

    Adapting ELM to Time Series Classification: A Novel Diversified Top-k Shapelets Extraction Method

    Extreme Learning Machine (ELM for shot) is a single hidden layer feed-forward network, where the weights between input and hidden layer are initialized randomly. ELM is efficient due to its utilization of the ...

    Qiuyan Yan, Qifa Sun, **nming Yan in Databases Theory and Applications (2016)