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Friday, March 01, 2013

Nuit Blanche in Review (February 2013 edition)

Since last January's review [45], we featured a rather large list of implementations [1-13], a set of meetings reviews [26] , some hardware related entries [16-23] , two job announcements [14-15] a new dataset [42], two Sunday Morning Insights [24,25], issues related to publishing [26-31] and some miscellaneous entries [32-44].

What about crosscutting issues ? Let us note that an implementation in [13] was eventually retired after a peer review [27] was done on it and was found to have a flaw, another paper was strengthened as a result. We are seeing a shift in the peer review world where Reddit, Google+, LinkedIn are already part of Peer Review Systems. If only you could get points out of those. Talking about sensing signals, we may be seeing the birth of a new sensor giant [23, 15] thanks to CMOS and the development of a start-up.[20].

In terms of theoretical development, we get to better know why the Non Negative Matrix Factorization (NMF) works and how it brings some lights in the calibration process [2]. Calibration was also central in a paper that took some time to come out [19]. similar issues were covered in [11, 19] and will be central to hardware development [16-23]. We were also witnessed to the development of new imaging modalities [12, 17, 18, 19, 20, 38, 40[ that are sometimes helped thanks to a compressive sensing approach. 

We saw some new libraries for dealing with tensors [8.9] and some new schemes for group testing [35] while developing a new understanding of data matrices [8 , 11, 25]. Finally, the two Sunday Morning Insighta [24,25] triggered some interesting discussions.

The previous Nuit Blanche reviews can be found here.
  1. General Matching Pursuit (GMP): Is Matching Pursuit Solving Convex Problems? 
  2. Robust Near-Separable Nonnegative Matrix Factorization Using Linear Optimization
  3. Robust Classification using Structured Sparse Representation
  4. See All by Looking at A Few: Sparse Modeling for Finding Representative Objects
  5. Sparse Manifold Clustering and Embedding
  6. Sparse Subspace Clustering: Algorithm, Theory, and Applications
  7. Robust Locally Linear Analysis with Applications to Image Denoising and Blind Inpainting 
  8. GRASTACam OPEN CV and Q-TT Toolbox in Python
  9. Tensorlab and Complex Optimization Toolbox
  10. nimfa - A Python Library for Nonnegative Matrix Factorization Techniques
  11. Correcting Camera Shake by Incremental Sparse Approximation
  12. Adaptive Outlier Pursuit: Robust 1-bit Compressive Sensing and Matrix Completion 
  13. That Netflix RMSE is way too low or is it ? ( Clustering-Based Matrix Factorization 
  14. 6 PostDocs at Edinburgh
  15. CSJob: Signal processing summer internship Computational Sensing and Imaging Group, Rambus Labs, Sunnyvale, CA
  16. The Stanford 256x256 CMOS Image Sensor with ΔΣ-Based Single-Shot Compressed Sensing
  17. Efficient High-Dimensional Entanglement Imaging with a Compressive-Sensing Double-Pixel Camera
  18. Coded aperture compressive temporal imaging
  19. Coded Hyperspectral Imaging and Blind Compressive Sensing
  20. InView Announces Compressive Sensing Workstation
  21. Hardware Hacking: ParisEmbedded Meetup #2
  22. Analog to Information: Breaking the Nyquist barrier
  23. Rambus
  24. Sunday Morning Insight: Stripe Physics, Wavelets and Compressive Sensing Solvers
  25. Sunday Morning Insight: Phase Transitions and Eigen-gaps as Roadmaps.
  26. Reviews and abstracts of FFT2013, CAP10, ISSC2013, BASP2013, ITA2013
  27. This Week's Guardians of Science: Zeno Gantner and Peyman Milanfar
  28. Nuit Blanche Reader's Reviews
  29. Reddit, Google+, LinkedIn as Peer Review Systems
  30. A New Discovery Engine
  31. Negative reviews and the weak minded
  32. A projector-splitting integrator for dynamical low-rank approximation
  33. Compressive Principal Component Pursuit
  34. Exact Sparse Recovery with L0 Projections
  35. Non-adaptive pooling strategies for detection of rare faulty items / Improved Constructions for Non-adaptive Threshold Group Testing
  36. The Unbearable Lightness of Seeing
  37. Tolerance to Ambiguity: Sparsity and the Bayesian Perspective
  38. Binary Compressed Imaging
  39. The Fast Cauchy Transform and Faster Robust Linear Regression
  40. Finding the Visible in the Invisible
  41. Breaking the coherence barrier: asymptotic incoherence and asymptotic sparsity in compressed sensing
  42.  Ben's Chicken Challenge
  43. Around the blogs in 78 hours
  44. Call for Interest in a CubeSat experiment
  45. Nuit Blanche in Review (January 2013 edition)

Image Credit: NASA/JPL-Caltech
This image was taken by Front Hazcam: Left A (FHAZ_LEFT_A) onboard NASA's Mars rover Curiosity on Sol 200 (2013-02-27 11:48:52 UTC) .
Full Resolution

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