Publications [#330838] of Xiaobai Sun

Papers Published

1. Xian, Y; Sun, X; Liao, W; Zhang, Y; Nowacek, D; Nolte, L, Intrinsic structure study of whale vocalizations, OCEANS 2016 MTS/IEEE Monterey, OCE 2016 (November, 2016), IEEE, ISBN 9781509015375 [doi]
   (last updated on 2024/04/23)

   Abstract:
   Whale vocalizations can be modeled as polynomial-phase signals, which are widely used in radar and sonar applications. Such signals lie on a nonlinear manifold parameterized by polynomial phase coefficients. In this paper, we apply manifold learning methods, in particular ISOMAP and Laplacian Eigenmap, to examine the underlying geometric structure of whale vocalizations. We can improve the classification accuracy by using the intrinsic structure of whale vocalizations. Our experiments on the DCLDE conference and MobySound data show that manifold learning methods such as ISOMAP and Laplacian eigenmap outperform linear dimension reduction methods such as Principal Component Analysis (PCA) and Multidimensional Scaling (MDS).