Aykroyd, R (University of Leeds)
Friday 07 February 2014, 13:45-14:30

A statistical perspective on sparse regularization and geometric modelling

Many important real world problems give rise to an Inverse problem (IP). These include medical imaging, non-destructive testing, oil and gas exploration, land-mine detection and process control. For example, in the exploration for oil and gas, one needs to assess the structure of the interior of the earth from observations made at the surface. Typically, an explosion is created and the resulting shockwaves together with their reflections are used to build a model of the structure of the earth. In magnetoencephalography one needs to determine the electric current in the neurones from the measurement of the magnetic field outside the head. In the field of medical imaging IP forms an important tool in diagnostic investigations. For example, PET and SPECT are two modern imaging techniques whose success is dependent on solving IPs.

Read more at: http://www.newton.ac.uk/programmes/INV/

Schönlieb, C (University of Cambridge)
Friday 14 February 2014, 11:45-12:30

Optimizing the optimizers - what is the right image and data model?

Chauris, H (Mines Paris Tech)
Friday 14 February 2014, 09:00-09:45

Towards a more robust automatic velocity analysis method

Burenkov, V (Cardiff University)
Friday 14 February 2014, 09:45-10:30

Adaptive regularization of convolution type equations in anisotropic spaces with fractional order of smoothness

Sidorov, D (Russian Academy of Sciences)
Friday 14 February 2014, 11:00-11:45

Volterra Integral Equations of the First Kind with Jump Discontinuous Kernels

Wu, H (Stanford University)
Wednesday 12 February 2014, 13:30-14:15

A statistical perspective on sparse regularization and geometric modelling

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