Nuit Blanche in Review ( May 2015 )

What happened since the Nuit Blanche in Review ( April 2015 ), for one, New Horizons is getting closer to planet Pluto (yes, it's my blog, I can call whatever body in the solar system a planet). I started a Facebook page for Nuit blanche. We also had 12 implementations made available by their respective authors. Nuit Blanche reached 4 million page views, saw the great convergence in action, wondered the next steps after commodity sequencing and contemplated some blue skies, hoped that compressive sensing solved one of the most important problem of our times, got some feedback from readers, had an interesting machine learning meetup in Paris, and saw compressive sensing at work. We also had some in-depth studies, job offers, a book announcement and some videos.

Implementations:

• Low-Rank Matrix Recovery from Row-and-Column Affine Measurements - implementation -
• Tensorial Kernel: A kernel-based framework to tensorial data analysis - implementation -
• Kernel Spectral Clustering and applications - implementation -
• Very Sparse LSSVM Reductions for Large-Scale Data - implementation -
• Random Bits Regression: a Strong General Predictor for Big Data - implementation -
• Self-Dictionary Sparse Regression for Hyperspectral Unmixing: Greedy Pursuit and Pure Pixel Search are Related - implementation -
• PCANet: A Simple Deep Learning Baseline for Image Classification? - implementation -
• Solving Random Quadratic Systems of Equations Is Nearly as Easy as Solving Linear Systems - implementation -
• Compressed Nonnegative Matrix Factorization is Fast and Accurate - implementation -
• fastFM: A Library for Factorization Machines - implementation -
• Factorization Machines implementation in Theano
• Phase retrieval via Kaczmarz methods - implementation -

1. Four million page views: a million here, a million there and soon enough we're talking real readership... 
2. The Great Convergence: Deep Learning, Compressive Sensing, Advanced Matrix Factorization
3. The Great Convergence: FlowNet: Learning Optical Flow with Convolutional Networks  
4. Hamming's time: The Important Things after Commodity Sequencing 
5. Blue Skies: Foundational principles for large scale inference, Stochastic Simulation and Optimization Methods in Signal Processing, Streaming and Online Data Mining , Kernel Models and more.
6. On Uncertainty Quantification of Lithium-ion Batteries
7. Reader's Digest: Gaussian vs Structured Projections, Improving A2I implementations, Kaczmarz method, Xampling the Future
8. Low-Cost Compressive Sensing for Color Video and Depth
9. Tonight! Paris Machine Learning Meetup #9, Season 2: ML @Quora and @Airbus and in HFT, Tax, APIs war 
10. Compressive Sensing at work: Three-dimensional coordinates of individual atoms in materials, Measurement of a 16.8 Million-Dimensional Entangled Probability Distribution, WiFi Fingerprinting in Indoor Environment, Airborne gravimetry data reconstruction

In depth

• Robust Rotation Synchronization via Low-rank and Sparse Matrix Decomposition
• Low-rank Modeling and its Applications in Image Analysis 
• Identifiability in Blind Deconvolution with Subspace or Sparsity Constraints
• Tensor time: Adaptive Higher-order Spectral Estimators / Bayesian Sparse Tucker Models for Dimension Reduction and Tensor Completion 
• Tensor sparsification via a bound on the spectral norm of random tensors Self-Expressive Decompositions for Matrix Approximation and Clustering 
• Structured Block Basis Factorization for Scalable Kernel Matrix Evaluation
• Phase Transition of Joint-Sparse Recovery from Multiple Measurements Via Convex Optimization 
• Randomized Robust Subspace Recovery for High Dimensional Data Matrices Newton Sketch: A Linear-time Optimization Algorithm with Linear-Quadratic Convergence
• Frequent Directions : Simple and Deterministic Matrix Sketching

Job:

• CSJob : 3 postdoc positions 'Compressed Sensing for Quantitative MR imaging', Edinburgh
• CSjob: Post-Doc on Structured Low-Rank Approximations, Grenoble, France

Book:

• Book: Dictionary Learning in Visual Computing

Video

• Saturday Morning Videos: IMA Workshop on Convexity and Optimization: Theory and Applications February 23-27, 2015
• Saturday Morning Videos: IMA / AP Workshop: Information Theory and Concentration Phenomena April 13-17, 2015
• Saturday Morning Videos: Slides and Videos from ICLR 2015 
• Saturday Morning Videos Reruns

credit photo: NASA   Join the CompressiveSensing subreddit or the Google+ Community and post there !
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