On the Spectral Property of Kernel-Based Sensor Fusion Algorithms of High Dimensional Data
DOI10.1109/TIT.2020.3026255zbMath1473.62103arXiv1909.11734OpenAlexW3088357727MaRDI QIDQ5151736
Publication date: 22 February 2021
Published in: IEEE Transactions on Information Theory (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1909.11734
free probability theorynull hypothesisalternating diffusion (AD)local laws of random matricesnonparametric canonical correlation analysis (NCCA)spectral properties of two kernel-based sensor fusion algorithmstwo simultaneously recorded high dimensional datasets
Nonparametric estimation (62G05) Measures of association (correlation, canonical correlation, etc.) (62H20)
Related Items (4)
This page was built for publication: On the Spectral Property of Kernel-Based Sensor Fusion Algorithms of High Dimensional Data