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stat.ML2022★ 1 cited
Learning Low-Dimensional Nonlinear Structures from High-Dimensional Noisy Data: An Integral Operator Approach
Xiucai Ding, Rong Ma
We propose a kernel-spectral embedding algorithm for learning low-dimensional nonlinear structures from high-dimensional and noisy observations, where the datasets are assumed to b…
stat.ML2021
How do kernel-based sensor fusion algorithms behave under high dimensional noise?
Xiucai Ding, Hau-Tieng Wu
We study the behavior of two kernel based sensor fusion algorithms, nonparametric canonical correlation analysis (NCCA) and alternating diffusion (AD), under the nonnull setting th…