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Robert A. Vandermeulen

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#machine learning Preprint Oct 2026

The Silhouette Operator: Identifiability of Low-Rank Measures from One-Dimensional Projections

Structured recovery phenomena, such as restricted isometry properties in compressed sensing, have shown that high-dimensional objects can often be reconstructed from remarkably low-dimensional linear measurements. This work develops an analogous recovery framework for low-rank signed measures on $\mathbb{R}^2$, defined...

Robert A. Vandermeulen · 0 citations

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