- Petros Boufounos: L1 minimization without amplitude information
- Tony Chan: TVL1 models for imaging: global optimization and geometric properties: Part I
- Ronald DeVore: Decoders for Compressed Sensing
- Selim Esedoglu: TVL1 models for imaging: global optimization and geometric properties: Part II
- Anna Gilbert: Combining geometry and combinatorics: a unified approach to sparse signal recovery
- Jean-Luc Guermond/Bojan Popov: Approximating PDEs in L1
- Alexander Kurganov: Numerical Methods for Modern Traffic Flow Models
- Gitta Kutyniok: l1-Minimization and the Geometric Separation Problem
- Stanley Osher:The split Bregman method for L1-regularized problems
- Tom Goldstein: Fast Bregman Iteration for Compressive Sensing and Sparse Denoising
- Alexander Petoukhov: l^1 greedy algorithm for finding solutions of underdetermined linear systems
- Justin Romberg: Architectures for Compressive Sampling
- Panagiotis Souganidis: Rates of convergence for monotone approximations of viscosity solutions
- Eitan Tadmor: L1 Techniques for Three Problems in PDEs, Numerics and Image Processing
- Jared Tanner: The surprising structure of Gaussian point clouds and its implications for signal processing
- Richard Tsai: Exploratory path planning and target detection
- Yin Zhang: Enhanced Compressive Sensing and More

I'll come back on some of the presentations later.

## No comments:

Post a Comment