G-invariant affinity kernels make graph Laplacians converge pointwise to explicit operators on M/G with rates improved by dim(G), recovering quotient geometry that standard spectral embedding fails to find.
IEEE Transactions on Computational Imaging , year =
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Group Invariant Spectral Embedding
G-invariant affinity kernels make graph Laplacians converge pointwise to explicit operators on M/G with rates improved by dim(G), recovering quotient geometry that standard spectral embedding fails to find.