After the year in review [17, 38], we had a list of implementations [18-26], a set of meetings [27-30], some hardware implementations [31-33], some meeting videos and papers [34-35], a job , some blog etiquette  as well as miscellaneous entries [38-41].
We also got a sense as to when compressive imaging might be an advantage over simpler systems  but the study did not take into account the technology. When CMOS doesn't work, you're back to square one.
We had a few entries featuring improvement over "older" technology (MRI ). One of the surprising finding this past month was the fact that some deterministic approaches seem to be doing as well as random multiplexings . This and the finding with metamaterials  might change computational imaging altogether. The whole investigation could use blind deconvolution  for random systems. Among the implementations that were made available [18-26] we had a system that mixes matrix factorization and random forest  and was the winner of the KDDCup two years in a row , an analog sparse recovery solver , and a parallel algorithm for solving linear equations that really seems to be O(n^3) unless you have O(n) cores (Thanks Danny) in which cases it becomes O(n^2)..
Adaptive sensing also called Linear Bandits  in this recommender systems approach showed up on the radar screen. Randomization brought us some new results in large scale function evaluation [10, 12] and potentially some faster belief propagation (AMP) algorithms . Some conversation on bad reconstruction and error metrics [8, 11, 12] and low rank approaches in the tensor domain  provided some depth to the field. It's not just about vectors or sparsity.
Finally, we had two long entries of papers [1,2] and some entries relevant our continuous exploration  . A new approach to using compressive sensing outside of the generally well known fields , I like it very much! What will February bring ?
The previous Nuit Blanche reviews can be found here.
- This (Past) Month in Compressive Sensing and Matrix Factorization
- Part Deux: This (Past) Month in Compressive Sensing and Matrix Factorization
- When Does Computational Imaging Improve Performance?
- Phase Diagram and Approximate Message Passing for Blind Calibration and Dictionary Learning
- Tensor completion based on nuclear norm minimization for 5D seismic data reconstruction
- Linear Bandits in High Dimension and Recommendation Systems
- Spread spectrum compressed sensing MRI using chirp radio frequency pulses
- Signal reconstruction in linear mixing systems with additive error metrics (video introduction)
- Around the blogs in 80 summer hours
- Fast Food: Approximating Kernel Expansion in Loglinear Time
- All hopes may not be crushed all at once
- It's not a bad reconstruction, just the end of an illusion...
- Fast Functions via Randomized Algorithms: Linear Regression with Random Projections
- A Computational model for compressed sensing RNAi cellular screening
- Recent Algorithms Development and Faster Belief Propagation algorithms
- Deterministic matrices matching the compressed sensing phase transitions of Gaussian random matrices
- A gut feeling review of 2012.
- Structure-Based Bayesian Sparse Reconstruction - implementation -
- Improving Dictionary Learning: Multiple Dictionary Updates and Coefficient Reuse - implementation -
- A Randomized Parallel Algorithm with Run Time $O(n^2)$ for Solving an $n \times n$ System of Linear Equations -
- Compressed Sensing with Correlation Between Measurements and Noise - implementation -
- Convergence Speed of a Dynamical System for Sparse Recovery - implementation -
- SVDFeature: A Toolkit for Feature-based Collaborative Filtering - implementation -
- A Probabilistic Approach to Robust Matrix Factorization - implementation -
- Heliometric Stereo: Shape from Sun Position - implementation
- AMP: Assembly Matching Pursuit, Metagenomic units (MGUs) discovery through sequence-based dictionary learning - implementation -
- ROKS 2013 International Workshop on Advances in Regularization, Optimization, Kernel Methods and Support Vector Machines:
- Phased Array 2013 announcement
- SPARS'13 deadlines approaching soon ! #spars13 and #Spars13 announcements and clarifications
- Fête Parisienne in Computation, Inference and Optimization: A Young Researchers' Forum
- Three-dimensional ghost imaging ladar
- Correspondence Diﬀerential Ghost Imaging
- Metamaterial Apertures for Computational Imaging
- The #NIPS2012 Videos are out
- Pacific Symposium on Biocomputing papers
- CSJob: Faculty at University of Wisconsin-Madison
- Welcome back to the Jungle
- Where are we now ?
- Agents of Change
- The Technical Side of the Nuclear Rockets Option
- Sudoku, Compressive Sensing and Thermodynamics
Image Credit: NASA/JPL-Caltech
This image was taken by Navcam: Left A (NAV_LEFT_A) onboard NASA's Mars rover Curiosity on Sol 176 (2013-02-03 00:25:21 UTC) .
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