Around the Interwebs: Sparsity, Compressive Sensing and more.

Here is a mix of blog entries and other relevant items I found recently:

• Bob puts out a call:  Calling listening test participants . This is a continuation of hios Music genre experiment.
• Suresh talks about Approximate Bregman near neighbors.
• Dirk has a take on The Augmented Lagrangian with variational inequalities and on necessary conditions for variational regularization
• Zhilin has a blog entry on his upcoming presentation: Compressed Sensing and Sparse Signal recovery by sparse Bayesian Learning Models, Algorithms and Applications
• Rich has an entry on his new paper: Video Compressive Sensing via CS-MUVI
• Dustin explains more to us about The restricted Isometry Property and Its Implication for Compressed Sensing 
• Randy mentions Single-pixel camera has multiple futures: Terahertz version adds new potential to unique invention
• On ZiYunag's Twitter feed we can read about:

  Daniel Percival's Ph.D. thesis: Structured Sparsity http://t.co/fMmqqJMp

• David Gorski talks about Why haven’t we cured cancer yet? (Revisited): Personalized medicine versus evolution. I note his mention of the recent work of Mardis et al I mentioned earlier on next sequencing techniques (Mardis et al, Clonal evolution in relapsed acute myeloid leukaemia revealed by whole-genome sequencing ). He points to some very interesting studies that finds that most tumors have different kind of cancerous cells but that in most cases, it looks like the initial installment of the cancer started 20 to 30 years earlier. I don't think I knew that and I like his final assessment

"....There is reason for hope, however. As was discussed at AACR, the vast majority of cancer-causing driver mutations can be divided into 12 key molecular signaling pathways, and, as was found in the NEJM paper, mutations at the “trunk” of the divergent branching evolution tend to remain as divergent evolution occurs, and targeting them is likely to be more effective than targeting mutations further out on the branches. It might be possible to hone in on these different pathways. In the meantime, as the cost of sequencing continues to fall, it might become feasible to sequence several parts of a tumor and its metastases and map out treatments that cover all of them. Personalized medicine is thus possible and still holds promise. It’s just not going to be as simple as getting a biopsy of a tumor and picking a targeted agent or two to blast the tumor into oblivion. .." 

Only 12 key molecular signaling pathways, uh, that's sparse! Finally, we have:

• David M. Paganin makes a spotlight summary on a paper we have mentioned already. Must be the editorial correction but no: "... The key assumption needed is that one must know a priori that the system of equations to be solved (assumed linear) is sparse in the sense that most of the required unknowns are zero..." it should be "....The key assumption needed is that one must know a priori that the system of equations to be solved (assumed linear) has a sparse solution in the sense that most of the required unknowns are zero.."
• Various Consequences features a highly replicable computational experiment

Image Credit: NASA/JPL/Space Science Institute,  W00073311.jpg was taken on March 29, 2012 and received on Earth March 29, 2012. The camera was pointing toward RHEA at approximately 411,117 kilometers away, and the image was taken using the CL1 and HAL filters.

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