#laplacians — Public Fediverse posts

'Fermat Distances: Metric Approximation, Spectral Convergence, and Clustering Algorithms', by Nicolás García Trillos, Anna Little, Daniel McKenzie, James M. Murphy.

http://jmlr.org/papers/v25/23-0939.html

#laplacians #metrics #metric

'Fermat Distances: Metric Approximation, Spectral Convergence, and Clustering Algorithms', by Nicolás García Trillos, Anna Little, Daniel McKenzie, James M. Murphy.

http://jmlr.org/papers/v25/23-0939.html

#laplacians #metrics #metric

'Fermat Distances: Metric Approximation, Spectral Convergence, and Clustering Algorithms', by Nicolás García Trillos, Anna Little, Daniel McKenzie, James M. Murphy.

http://jmlr.org/papers/v25/23-0939.html

#laplacians #metrics #metric

'Fermat Distances: Metric Approximation, Spectral Convergence, and Clustering Algorithms', by Nicolás García Trillos, Anna Little, Daniel McKenzie, James M. Murphy.

http://jmlr.org/papers/v25/23-0939.html

#laplacians #metrics #metric

'Fermat Distances: Metric Approximation, Spectral Convergence, and Clustering Algorithms', by Nicolás García Trillos, Anna Little, Daniel McKenzie, James M. Murphy.

http://jmlr.org/papers/v25/23-0939.html

#laplacians #metrics #metric

'Radial Basis Approximation of Tensor Fields on Manifolds: From Operator Estimation to Manifold Learning', by John Harlim, Shixiao Willing Jiang, John Wilson Peoples.

http://jmlr.org/papers/v24/22-1193.html

#laplacians #laplacian #manifold

'Radial Basis Approximation of Tensor Fields on Manifolds: From Operator Estimation to Manifold Learning', by John Harlim, Shixiao Willing Jiang, John Wilson Peoples.

http://jmlr.org/papers/v24/22-1193.html

#laplacians #laplacian #manifold

'Radial Basis Approximation of Tensor Fields on Manifolds: From Operator Estimation to Manifold Learning', by John Harlim, Shixiao Willing Jiang, John Wilson Peoples.

http://jmlr.org/papers/v24/22-1193.html

#laplacians #laplacian #manifold

'Radial Basis Approximation of Tensor Fields on Manifolds: From Operator Estimation to Manifold Learning', by John Harlim, Shixiao Willing Jiang, John Wilson Peoples.

http://jmlr.org/papers/v24/22-1193.html

#laplacians #laplacian #manifold

'Radial Basis Approximation of Tensor Fields on Manifolds: From Operator Estimation to Manifold Learning', by John Harlim, Shixiao Willing Jiang, John Wilson Peoples.

http://jmlr.org/papers/v24/22-1193.html

#laplacians #laplacian #manifold

'Large sample spectral analysis of graph-based multi-manifold clustering', by Nicolas Garcia Trillos, Pengfei He, Chenghui Li.

http://jmlr.org/papers/v24/21-1254.html

#laplacians #manifolds #laplacian

'Large sample spectral analysis of graph-based multi-manifold clustering', by Nicolas Garcia Trillos, Pengfei He, Chenghui Li.

http://jmlr.org/papers/v24/21-1254.html

#laplacians #manifolds #laplacian

'Large sample spectral analysis of graph-based multi-manifold clustering', by Nicolas Garcia Trillos, Pengfei He, Chenghui Li.

http://jmlr.org/papers/v24/21-1254.html

#laplacians #manifolds #laplacian

'Large sample spectral analysis of graph-based multi-manifold clustering', by Nicolas Garcia Trillos, Pengfei He, Chenghui Li.

http://jmlr.org/papers/v24/21-1254.html

#laplacians #manifolds #laplacian

'Large sample spectral analysis of graph-based multi-manifold clustering', by Nicolas Garcia Trillos, Pengfei He, Chenghui Li.

http://jmlr.org/papers/v24/21-1254.html

#laplacians #manifolds #laplacian

Any experts out there for #Laplacians on algebraic varieties?

Any experts out there for #Laplacians on algebraic varieties?

Any experts out there for #Laplacians on algebraic varieties?

Any experts out there for #Laplacians on algebraic varieties?

Any experts out there for #Laplacians on algebraic varieties?