CS: SMALL Workshop slides

Following are the slides shown during the SMALL workshop of a week ago. We are going to get the videos this coming week, but in the meantime, here are some of the "morceauz choisis" (selected pieces) I glanced from the slides. Let us note the very interesting conclusions of Pierre Vandergheynst: a rare occurence. Should this type of results be submitted to Rejecta Mathematica ?

Opening Remarks - Mark Plumbley

Francis Bach - Structured sparsity-inducing norms through submodular functions

 Mike Davies - Rank aware algorithms for joint sparse recovery

Holger Rauhut - Copressive sensing and structured random matrices

Pierre Vandergheynst - Transductive learning with spectral graph wavelets

Karin Schnass - Dictionary idenfication - Sparse matrix-factorization via L1-minimization

John Wright - Dictionary learning via L1-minimization: well-posedness and correct recovery

Michael Elad - Exploiting statistical dependencies in sparse representations

Kjersti Engan - Dictionary learning by RLA-DLA with applications