Multimodal Manifold Analysis by Simultaneous Diagonalization of Laplacians

By Davide Eynard, Artiom Kovnatsky, Michael M. Bronstein, Klaus Glashoff, A. Bronstein. 2015

67 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Computer Vision and Pattern Recognition

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Theory and Mathematics

1. Michael M. Bronstein
2. Yann LeCun
3. Joan Bruna
4. Pierre Vandergheynst
5. Arthur Szlam

In Computer Vision and Pattern Recognition

1. Luc Van Gool
2. Michael M. Bronstein
3. Dacheng Tao
4. Xiaogang Wang
5. Jitendra Malik
6. Ming-Hsuan Yang
7. Trevor Darrell
8. Andrea Vedaldi

Citations in the corpus

• Geometric Deep Learning: Going beyond Euclidean data (2016, methodology): “It is possible to construct compatible orthogonal bases across different domains resorting to a joint diagonalization procedure [74], [75].”