Around the blogs in 80 summer hours

Since the last  Around the blogs in 80 summer hours, the flat line activity of the Summer on the interwebs seems to be over. First of all, we had quite a few implementation made available by their authors. 

• Spread spectrum magnetic resonance imaging - s2MRI
• On Variable Density Compressive Sampling
• Re-Weighted l_1 Dynamic Filtering for Time-Varying Sparse Signal Estimation and Sparsity penalties in dynamical system estimation

As usual these entries get to be featured longer and in a single entry. Releasing an implementation is serious work and I try to make a big deal out of it, so there.

When mentioning those subjects: Streaming Data Mining and  the GraphLab and GraphChi group on LinkedIn, it occurred to me that, for my own sake, I needed to do a synthesis of what we are currently seeing. I applied to give a TEDxParis talk but they declined, unbeknownst to me the theme of the meeting was 2030 so I decided to provide a glimpse of August 25th, 2030 based on what we know, no crystal ball here just applying what we have seen so far and doing a little of interpolation.. Here are part 1 and 2 of the material on which the talk would have been based on:

• Predicting the Future: The Steamrollers
• Predicting the Future: Randomness and Parsimony

Talking about TED, here is a  TED Talk by Ramesh Raskar on Imaging at a trillion frames per second. The random bit of the week is this finding on The First Programmable Robot You've Never Heard of.

The activity on the blogs has regained some steam: 

Dirk provided a nice overview of some of the talks at ISMP:

• ISMP first day
• ISMP, second day
• ISMP over – non-convex and non-smooth minimization, l^1 and l^p
• ISMP – inverse problems with uniform noise and TV does not preserve edges
• ISMP – alternatingly projecting on non-convex sets and demixing by convex optimization

Bob tells us about EUSIPCO

• Papers of the Day (Po'D): My EUSIPCO Papers Day 1 Edition
• Off to EUSIPCO 2012

Masaaki

• Compressed sensing for communication systems
• Optimal Design of Delta-Sigma Modulators

Laurent features a call for papers on Time-frequency analysis and applications
Emmanuel explains his Radio silence. Lots of good stuff coming up.
Danny

• Airlines on time performance dataset
• Collaborative filtering with GraphChi
• On convergence of Gaussian BP
• Steffen Rendle - libFM
• 80-20 rule - or collaborative filtering in practice

Larry

• A Workshop on Topology and Machine Learning
• Robins and Wasserman Respond to a Nobel Prize Winner
• What Every Statistician Should Know About Computer Science (and Vice-Versa)
• P-values Gone Wild and Multiscale Madness

Rich let us know that Rice Founds E-Learning Center
Andrej has set up a nifty Academic Countdown
Christian reminds us about the Bayes by the Bay meeting
Greg features Juha Vierinen's jitter project, GNU Ionospheric Tomography Receiver
Yannick let is know about a group meeting on CS and medical imagery in France.
Carter intends on building some Haskell version of some of the advanced Matrix factorization algorithms.
John lists the Patterns for research in machine learning
David has some advice on 7 Habits of the Open Scientist #3: Pre-publication dissemination of research


Finally, if you thought Nature was in the business of high quality and high impact papers, you might rethink that in light of this Guest Post: Terry Rudolph on Nature versus Nurture



Image Credit: NASA/JPL-Caltech/MSSS, Focusing the 100-millimeter Mastcam, layered buttes of Mount Sharp,

Liked this entry ? subscribe to Nuit Blanche's feed, there's more where that came from. You can also subscribe to Nuit Blanche by Email, explore the Big Picture in Compressive Sensing or the Matrix Factorization Jungle and join the conversations on compressive sensing, advanced matrix factorization and calibration issues on Linkedin.