Publications [#353258] of Hau-Tieng Wu

Papers Published

1. Shen, C; Lin, Y-T; Wu, H-T, Robust and scalable manifold learning via landmark diffusion for long-term medical signal processing (2020) [doi]
   (last updated on 2024/04/24)

   Abstract:
   Motivated by analyzing long-term physiological time series, we design a robust and scalable spectral embedding algorithm, coined the algorithm RObust and Scalable Embedding via LANdmark Diffusion (ROSE-LAND). The key is designing a diffusion process on the dataset, where the diffusion is forced to interchange on a small subset called the landmark set . In addition to demonstrating its application to spectral clustering and image segmentation, the algorithm is applied to study the long-term arterial blood pressure waveform dynamics during a liver transplant operation lasting for 12 hours long.