most citedMultilinear Kernel Regression and Imputation via Manifold Learning

1 citations · 1 across the 2 of their papers we have counts for

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2 papers

eess.SP2024★ 1 cited

Multilinear Kernel Regression and Imputation via Manifold Learning

Duc Thien Nguyen, Konstantinos Slavakis

This paper introduces a novel nonparametric framework for data imputation, coined multilinear kernel regression and imputation via the manifold assumption (MultiL-KRIM). Motivated…

eess.SP2023

Multi-Linear Kernel Regression and Imputation in Data Manifolds

Duc Thien Nguyen, Konstantinos Slavakis

This paper introduces an efficient multi-linear nonparametric (kernel-based) approximation framework for data regression and imputation, and its application to dynamic magnetic-res…