3 citations · 3 across the 4 of their papers we have counts for
7 papers
From Varadhan's Limit to Eigenmaps: A Guide to the Geometric Analysis behind Manifold Learning
Chen-Yun Lin, Christina Sormani
We present an overview of the history of the heat kernel and eigenfunctions on Riemannian manifolds and how the theory has lead to modern methods of analyzing high dimensional data…
Manifold embeddings by heat kernels of connection Laplacian
Chen-Yun Lin
We show that any closed -dimensional manifold can be embedded by a map constructed using the heat kernels of the connection Laplacian as well as a maps constructed using…
Unexpected sawtooth artifact in beat-to-beat pulse transit time measured from patient monitor data
Yu-Ting Lin, Yu-Lun Lo, Chen-Yun Lin +2
Object: It is increasingly popular to collect as much data as possible in the hospital setting from clinical monitors for research purposes. However, in this setup the data calibra…
Vector Nonlocal Euclidean Median: Principal Bundle Captures The Nature of Patch Space
Chen-Yun Lin, Arin Minasian, Xin Jessica Qi +1
We extensively study the rotational group structure inside the patch space by introducing the fiber bundle structure. The rotational group structure leads to a new image denoising…
Wave-shape function analysis -- when cepstrum meets time-frequency analysis
Chen-Yun Lin, Li Su, Hau-tieng Wu
We propose to combine cepstrum and nonlinear time-frequency (TF) analysis to study mutiple component oscillatory signals with time-varying frequency and amplitude and with time-var…
Embeddings of Riemannian Manifolds with Finite Eigenvector Fields of Connection Laplacian
Chen-Yun Lin, Hau-Tieng Wu
We study the problem asking if one can embed manifolds into finite dimensional Euclidean spaces by taking finite number of eigenvector fields of the connection Laplacian. This prob…