3.7k citations · 7.1k across the 79 of their papers we have counts for
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cs.CG2018★ 25 cited
Isospectralization, or how to hear shape, style, and correspondence
Luca Cosmo, Mikhail Panine, Arianna Rampini +3
The question whether one can recover the shape of a geometric object from its Laplacian spectrum ('hear the shape of the drum') is a classical problem in spectral geometry with a b…
cs.CG2017★ 5 cited
Subspace Least Squares Multidimensional Scaling
Amit Boyarski, Alex M. Bronstein, Michael M. Bronstein
Multidimensional Scaling (MDS) is one of the most popular methods for dimensionality reduction and visualization of high dimensional data. Apart from these tasks, it also found app…