hosvd

This paper introduces low-cost High-Order Singular Value Decomposition (lcHOSVD), a tensor-based method for reconstructing high-dimensional environmental fields from sparse sensor measurements. Applied to urban flow and air-quality datasets, it achieves lower reconstruction errors and greater robustness to uneven sensor distributions compared to matrix-based approaches.