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Showing 1 to 2 of 2 for “"biomedical time series"”.

  1. A Geometric Approach to Biomedical Time Series Analysis

    <p>Biomedical time series are non-invasive windows through which we may observe human systems. Although a vast amount of information is hidden in the medical field's growing collection of long-term, high-resolution, and multi-modal biomedical time series, effective algorithms for extracting that …

    duke Repository record for A Geometric Approach to Biomedical Time Series Analysis (opens in a new tab)

  2. Robust and scalable unsupervised learning via landmark diffusion, from theory to medical application

    <p>Biomedical time series contain rich information about human systems, however, effective algorithms for analyzing long-term physiological time series have not yet been developed because of the huge volume size, high dimensionality and large noise nature of the data. Motivated by such challenging …

    duke Repository record for Robust and scalable unsupervised learning via landmark diffusion, from theory to medical application (opens in a new tab)