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On the spectral property of kernel-based sensor fusion algorithms of
  high dimensional data
v1v2 (latest)

On the spectral property of kernel-based sensor fusion algorithms of high dimensional data

25 September 2019
Xiucai Ding
Hau‐Tieng Wu
ArXiv (abs)PDFHTML

Papers citing "On the spectral property of kernel-based sensor fusion algorithms of high dimensional data"

3 / 3 papers shown
Title
Kernel spectral joint embeddings for high-dimensional noisy datasets using duo-landmark integral operators
Kernel spectral joint embeddings for high-dimensional noisy datasets using duo-landmark integral operators
Xiucai Ding
Rong Ma
95
2
0
20 May 2024
Learning Low-Dimensional Nonlinear Structures from High-Dimensional
  Noisy Data: An Integral Operator Approach
Learning Low-Dimensional Nonlinear Structures from High-Dimensional Noisy Data: An Integral Operator Approach
Xiucai Ding
Rongkai Ma
90
9
0
28 Feb 2022
Impact of signal-to-noise ratio and bandwidth on graph Laplacian
  spectrum from high-dimensional noisy point cloud
Impact of signal-to-noise ratio and bandwidth on graph Laplacian spectrum from high-dimensional noisy point cloud
Xiucai Ding
Hau‐Tieng Wu
107
13
0
21 Nov 2020
1