Università della Svizzera italiana

Spectral methods for multimodal data analysis

Kovnatsky, Artiom ; Bronstein, Michael (Dir.)

Thèse de doctorat : Università della Svizzera italiana, 2016 ; 2016INFO006.

Spectral methods have proven themselves as an important and versatile tool in a wide range of problems in the fields of computer graphics, machine learning, pattern recognition, and computer vision, where many important problems boil down to constructing a Laplacian operator and finding a few of its eigenvalues and eigenfunctions. Classical examples include the computation of diffusion ...