Dear Igor,Thanks for your remark and for mentioning CoSeRa 2013 in your blog. There is another recent paper of Rachel Ward and myself which goes into a similar direction, seeBest wishes,Holger
while Anders Hansen sent me the following:
Thanks so much for again writing about infinite-dimensional compressed sensing on your blog (you are doing a great job). This is an important topic that is getting more and more attention. Just to let you know, there will be a mini-symposium at the "8th International Conference on Curves and Surfaces (2014)" entitled "Sampling and compressive sensing over the continuum", that will focus specifically on these issues.Best wishes,Anders
....It’s David Donoho [5] reportedly exclaiming a panel of NSF folks “You’ve got Terry Tao (a Fields medalist [6]) talking to geoscientists, what do you want?” ....Fall 2008 UCLA Math Department Newsletter, Mark Green Ends His Remarkable Odyssey at IPAM
Olimex
Danny
Andrew
- Kaggle Titanic Contest Tutorial
- First Spark Summit
- New SOSP paper: a lightweight infrastructure for graph analytics
- Spark raises 14M $ to compete with Hadoop
- GraphLab Internship Program (Machine Learning Summer Internship)
Andrew
- Visualization, “big data”, and EDA
- Gladwell and Chabris, David and Goliath, and science writing as stone soup
- Chris Chabris is irritated by Malcolm Gladwell
- Mister P: What’s its secret sauce?
- A Bayesian approach for peer-review panels? and a speculation about Bruno Frey
- Ideas that spread fast and slow
- Give me a ticket for an aeroplane
- Scientific communication that accords you “the basic human dignity of allowing you to draw your own conclusions”
Larry
SAGE
Christian
SAGE
Christian
Albert
Vladimir
- Samsung Invests in Structured Light 3D Imager Startup
- Bacterial Imager Proposed
- Crosstalk Reduction Between Multiple Structured Light Cameras
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Laurent
Meena
Djalil
Anand
Cable
Djalil
Anand
Cable
Dirk
Kaggle
David
Credit photo: Interphase Transport Lab, Texas A&M University.
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- The Kurdyka-Łojasiewicz inequality and gradient descent methods
- Post-it for convex optimization for optimal transport, value functions, accelerated forward backward and Bayesion inversion
Kaggle
David
While on Nuit Blanche, we had:
- An Empirical-Bayes Approach to Recovering Linearly Constrained Non-Negative Sparse Signals
- OrderedLASSO : Statistical Estimation and Testing via the Ordered L1 Norm - implementation
- Phase Retrieval: Covariance Estimation, Sparse Signals
- Infinity Continues to Matter: Generalized sampling: stable reconstructions, inverse problems and compressed sensing over the continuum
- Slides: Second Edition of the International Workshop on Compressed Sensing applied to Radar (CoSeRa 2013)
- Compressed Counting Meets Compressed Sensing
- Imaging strong localized scatterers with sparsity promoting optimization
- About t'em breakthroughs and a comment on a comment on "The Mathematical Shape of Things to Come"
- Ceci n'est toujours pas le blog de Nuit Blanche
- Saturday Morning Video: The mathematics of weight loss
- Paris Machine Learning LinkedIn group and Meetup #4
- The Tale of Three Breakthroughs: Matrix Sketches, Face Recognition and an AMP based LASSO
- CfP: ITWIST'14: "international - Traveling Workshop on Interactions between Sparse models and Technology"
- Videos: Succinct Data Representations and Applications
- Nuit Blanche In Review (September 2013)
- Internet of Things #2 Paris Meetup summary
- 2497..2498..2499..
- Videos: Big Data Boot Camp Day 2,3 and 4, Simons Institute, Berkeley
- Accurate Profiling of Microbial Communities from Massively Parallel Sequencing using Convex Optimization - implementation -
- Videos: Big Data Boot Camp Day 1, Simons Institute, Berkeley
- Around the blogs in 78 Summer hours: Dina Katabi Mac Arthur Fellow, Big Data at the Simons Institute and more ....
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.
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