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Shape smoothing (and what I hope to get from the Newton change-point program)

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If you have a question about this talk, please contact Mustapha Amrani.

Inference for Change-Point and Related Processes

This talk will present some ideas for smoothing manifolds that have been observed as discrete meshes subject to noise. We will discuss the potential to create wavelet-type bases informed by the geometry of the manifold. As opposed to global Laplace-Beltrami eigenfunctions, localised bases can be found through the lifting scheme. These bases should allow a parsimonious representation of the co-ordinate functions and allow denoising of the original shape via thresholding.

I will also discuss some hopes that I have for the Newton Institute program and areas in change-point inference I am interested in working on.

This talk is part of the Isaac Newton Institute Seminar Series series.

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