Inverse Problems

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/

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

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

02-28
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Towards a more robust automatic velocity analysis method

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

02-28
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Adaptive regularization of convolution type equations in anisotropic spaces with fractional order of smoothness

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

02-28
37:46

Volterra Integral Equations of the First Kind with Jump Discontinuous Kernels

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

02-28
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Alternating Projection, Ptychographic Imaging and connection graph Laplacian

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

02-27
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Determination of an additive source in the heat equation

Lesnic, D (University of Leeds) Thursday 13 February 2014, 11:00-11:45

02-27
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On Implicit Image Differentiation and Filtering

Belyaev, A (Heriot-Watt University) Thursday 13 February 2014, 11:45-12:30

02-27
42:47

On stability for the direct scattering problem and its applications to cloaking

Rondi, L (UniversitĂ  degli Studi di Trieste) Thursday 13 February 2014, 09:00-09:45

02-27
43:24

Bayesian preconditioning for truncated Krylov subspace regularization with an application to Magnetoencephalography (MEG)

Somersalo, E (Case Western Reserve University) Tuesday 11 February 2014, 11:00-11:45

02-27
58:47

On Large Scale Inverse Problems that Cannot be solved

Haber, E (University of British Columbia) Wednesday 12 February 2014, 11:45-12:30

02-27
45:13

On Convex Finite-Dimensional Variational Methods in Imaging Sciences, and Hamilton-Jacobi Equations

Darbon, J (University of California, Los Angeles) Wednesday 12 February 2014, 11:00-11:45

02-27
45:10

Optimal Design in Large-Scale Inversion - From Compressive to Comprehensive Sensing

Horesh, L (IBM Research) Tuesday 11 February 2014, 14:15-15:00

02-27
47:43

Hyperbolic inverse problems and exact controllability

Oksanen, L (University College London) Wednesday 12 February 2014, 09:45-10:30

02-27
42:09

Conditional stability of Calder\'on problem for less regular conductivities

Reyes, J (Cardiff University) Thursday 13 February 2014, 09:45-10:30

02-27
36:08

Compressed sensing in the real world - The need for a new theory

Hansen, A (University of Cambridge) Wednesday 12 February 2014, 09:00-09:45

02-27
43:50

Four-dimensional X-ray tomography

Siltanen, S (University of Helsinki) Tuesday 11 February 2014, 13:30-14:15

02-27
46:00

Sequential Monte Carlo and particle methods in inverse problems

Calvetti, D (Case Western Reserve University) Tuesday 11 February 2014, 09:45-10:30

02-27
43:31

Restoration of images with blur and noise - effective models for known and unknown blurs

Chen, K (University of Liverpool) Friday 07 February 2014, 15:30-16:00

02-17
32:08

Conjugate gradient iterative hard thresholding for compressed sensing and matrix completion

Tanner, J (University of Oxford) Monday 10 February 2014, 11:00-11:45

02-17
46:24

A statistical perspective on sparse regularization and geometric modelling

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

02-17
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