Kernel Regression for Matrix-Variate Gaussian Distributed Signals Over Sample Graphs
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DOI: 10.1109/tsipn.2022.3202035
Abstract: Recent advances of kernel regression assume that target signals lie over a feature graph such that their values can be predicted with the assistance of the graph learned from training data. In this article, we… read more here.
Keywords: regression; kernel regression; graph; matrix variate ... See more keywords