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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