Another Year in Reproducible Research in Compressive Sensing, Advanced Matrix Factorization and more

Since last Year's entry on Reproducible Research in Compressive Sensing, Advanced Matrix Factorization and moreI, we have had quite few new implementations made available by different authors.: 87 in fact. Last year's count was 74. This is a 17% increase, not bad.

In the spirit of reproducible research, the rule is now that all Nuit Blanche entries that feature the release of an algorithm implementation deserve a whole entry. For the ones not yet listed on the Big Picture in Compressive Sensing or the Advanced Matrix Factorization Jungle page, this omission will be repaired soon. All these implementations are also listed in the compounded list of the Reproducible Research page. Here is the long list for this past year.

• SLRA: Structured Low-Rank Approximation as Optimization on a Grassmann Manifold 
• ScatNet: An implementation of Scattering Networks transforms and classification algorithms +7
• Optimally weighted recovery of a low-rank signal matrix from a high-dimensional signal-plus-noise matrix 
• Embedding Multiclass Data Hiding in Compressed Sensing
• The Fukushima Inverse Problem +4
• CO4OI: Convex Optimisation for Optical Interferometry
• Quikr: a Method for Rapid Reconstruction of Bacterial Communities via Compressive Sensing. 
• Finite rate of innovation based modeling and compression of ECG signals 
• FrameSense: Near-Optimal Sensor Placement for Linear Inverse Problems / Acoustic echoes reveal room shape - implementation -
• PyHST2: an hybrid distributed code for high speed tomographic reconstruction with iterative reconstruction and a priori knowledge capabilities - implementation-
• Quantized Iterative Hard Thresholding: Bridging 1-bit and High-Resolution Quantized Compressed Sensing - implementation -
• Sparse Recovery of Streaming Signals Using l_1-Homotopy - implementation -
• Structure Discovery in Nonparametric Regression through Compositional Kernel Search 
• qGeomMC: A Quotient Geometric approach to low-rank Matrix Completion - implementation 
• Sparse FFT implementations
• Analysis Based Blind Compressive Sensing 
• Manopt: A Matlab tool­box for opti­mization on manifolds 
• qGeomMC: A Quotient Geometric approach to low-rank Matrix Completion 
• Phase retrieval for imaging problems 
• SL0-mod: Surpassing the Theoretical L_1 norm phase transition in Compressive Sennsing by Tuning the Smoother l_0 Algorithm: 
• PalBOMP/PolBOMP: Compressive Parameter Estimation for Sparse Translation-Invariant Signals Using Polar Interpolation 
• K-SVD/IPR: Learning Incoherent Dictionaries for Sparse Approximation using Iterative Projections and Rotations 
• The Phase Transition of Matrix Recovery from Gaussian Measurements Matches the Minimax MSE of Matrix Denoising 
• Squeezambler: Distilled Single Cell Genome Sequencing and De Novo Assembly for Sparse Microbial Communities 
• Enhanced Compressed Sensing Recovery with Level Set Normals 
• Correcting Errors in Linear Measurements and Compressed Sensing of Multiple Sources 
• Greedy Approach for Subspace Clustering from Corrupted and Incomplete Data
• Greedy Approach for Low-Rank Matrix Recovery 
• Sparsity Averaging Reweighted Analysis (SARA) 
• Bayesian methods for gene expression factor analysis 
• MOUSSE: Multiscale Online Union of SubSpaces Estimation 
• GAGA: GPU Accelerated Greedy Algorithms - implementation -
• GESPAR: Efficient Phase Retrieval of Sparse Signals and QCS: Sparsity based sub-wavelength imaging) 
• A Q&A with Nikolaos Freris and Anastasios Zouzias: Randomized Extended Kaczmarz 
• Model-Based Calibration of Filter Imperfections in the Random Demodulator for Compressive Sensing 
• NACHOS: Nearfield Acoustic Holography using sparsity and compressive sampling principles -
• GOAL: Analysis Operator Learning and Its Application to Image Reconstruction 
• SPASH: Sparse Shape Reconstruction 
• Compressive Sensing for Spread Spectrum Receivers, Spectral Compressive Sensing with Polar Interpolation - implementations 
• Improving Smoothed l0 Norm in Compressive Sensing Using Adaptive Parameter Selection 
• A Note on k-support Norm Regularized Risk Minimization -implementation -
• Inductive Sparse Subspace Clustering - implementation - and Greedy Feature Selection for Subspace Clustering
• 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 -
• A hand-waving introduction to sparsity for compressed tomography reconstruction - python,
• Scattering Representations for Recognition
• 24AM: 24 efficient parallel SPCA implementations
• Estimating Natural Illumination from a Single Outdoor Image
• Robust image reconstruction from multi-view measurements
• #Python implementation of BSBL code family
• #Python NMF/NTF with beta divergence
• Robustness Analysis of HottTopixx, a Linear Programming Model for Factoring Nonnegative Matrices
• Hott Topixx: Factoring nonnegative matrices with linear programs
• Scaled gradients on grassmann manifolds for matrix Completion
• PDRank: Penalty Decomposition Methods for Rank Minimization (and more)
• NuMax: A Convex Approach for Learning Near-Isometric Linear Embeddings
• Blind Deconvolution using Convex Programming
• Random Projections for Support Vector Machines
• From Bits to Images: Inversion of Local Binary Descriptors [8 G+]
• Fast Marginalized Block SBL Algorithm
• COSMOS: sparse modeling software
• Belief Propagation Reconstruction for Discrete Tomography [4 G+]
• FLAGLET: Exact wavelets on the ball
• S2LET: A code to perform fast wavelet analysis on the sphere
• Bayesian Blind Deconvolution With General Sparse Image Priors
• ReProCS: Recursive Robust PCA or Recursive Sparse Recovery in Large but Structured Noise 
• Low Rank Approximation and Regression in Input Sparsity Time
• Fast Earth Mover's Distance (EMD)
• Compressive Phase Retrieval via Generalized Approximate Message Passing 
• CPRL – An Extension of Compressive Sensing to the Phase Retrieval Problem 
• Analysis K-SVD: A Dictionary-Learning Algorithm for the Analysis Sparse Model , 
• Unbiased Risk Estimates for Singular Value Thresholding and Spectral Estimators 
• GONDOLA: Generative-Discriminative Basis Learning for Medical Imaging 
• Eulerian Video Magnification for Revealing Subtle Changes in the World 
• MASTeR: Motion-Adaptive Spatio-Temporal Regularization for Accelerated Dynamic MRI 
• Complex Matrix Factorization Toolbox 
• Lipid Suppression in CSI with Spatial Priors and Highly Undersampled Peripheral K-Space 
• nGpFBMP: A Fast Non-Gaussian Bayesian Matching Pursuit Method for Sparse Reconstruction 
• Accelerated DSI with Compressed Sensing using Adaptive Dictionaries 
• SCoBeP: Dense Image Registration using Sparse Coding and Belief Propagation

Credit: NASA/ESA

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