David Donoho

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David Donoho is affiliated with the following schools: University of California, Berkeley, Princeton University, Stanford University, Harvard University

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David Donoho

Mathematics

#409

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#828

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#186

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Statistics

#41

World Rank

#58

Historical Rank

#23

USA Rank

Measure Theory

#74

World Rank

#123

Historical Rank

#40

USA Rank

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Mathematics

David Donoho's Degrees

Bachelors Mathematics Princeton University

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Why Is David Donoho Influential?

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According to Wikipedia, David Leigh Donoho is an American statistician. He is a professor of statistics at Stanford University, where he is also the Anne T. and Robert M. Bass Professor in the Humanities and Sciences. His work includes the development of effective methods for the construction of low-dimensional representations for high-dimensional data problems , development of wavelets for denoising and compressed sensing. He was elected a Member of the American Philosophical Society in 2019.

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David Donoho's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Atomic Decomposition by Basis Pursuit (1998) (11376)
De-noising by soft-thresholding (1995) (9389)
Ideal spatial adaptation by wavelet shrinkage (1994) (8163)
Sparse MRI: The application of compressed sensing for rapid MR imaging (2007) (6186)
Adapting to Unknown Smoothness via Wavelet Shrinkage (1995) (4910)
Compressed sensing (2006) (3989)
Optimally sparse representation in general (nonorthogonal) dictionaries via ℓ1 minimization (2003) (2973)
Fast Discrete Curvelet Transforms (2006) (2641)
The curvelet transform for image denoising (2001) (2555)
For most large underdetermined systems of linear equations the minimal 𝓁1‐norm solution is also the sparsest solution (2006) (2517)
From Sparse Solutions of Systems of Equations to Sparse Modeling of Signals and Images (2009) (2294)
Stable recovery of sparse overcomplete representations in the presence of noise (2006) (2270)
Ideal spacial adaptation via wavelet shrinkage (1994) (2150)
Uncertainty principles and ideal atomic decomposition (2001) (2090)
Message-passing algorithms for compressed sensing (2009) (2015)
Compressed Sensing MRI (2008) (1937)
Translation-Invariant De-Noising (1995) (1931)
Curvelets: A Surprisingly Effective Nonadaptive Representation for Objects with Edges (2000) (1795)
Wavelet Shrinkage: Asymptopia? (1995) (1705)
Hessian eigenmaps: Locally linear embedding techniques for high-dimensional data (2003) (1684)
New tight frames of curvelets and optimal representations of objects with piecewise C2 singularities (2004) (1675)
Sparse Solution of Underdetermined Systems of Linear Equations by Stagewise Orthogonal Matching Pursuit (2012) (1347)
Minimax estimation via wavelet shrinkage (1998) (1108)
Image decomposition via the combination of sparse representations and a variational approach (2005) (1024)
Uncertainty principles and signal recovery (1989) (999)
For most large underdetermined systems of equations, the minimal 𝓁1‐norm near‐solution approximates the sparsest near‐solution (2006) (985)
Simultaneous cartoon and texture image inpainting using morphological component analysis (MCA) (2005) (960)
Ridgelets: a key to higher-dimensional intermittency? (1999) (948)
Sparse Solution Of Underdetermined Linear Equations By Stagewise Orthogonal Matching Pursuit (2006) (927)
When Does Non-Negative Matrix Factorization Give a Correct Decomposition into Parts? (2003) (917)
Extensions of compressed sensing (2006) (914)
Fast Solution of $\ell _{1}$ -Norm Minimization Problems When the Solution May Be Sparse (2008) (883)
Density estimation by wavelet thresholding (1996) (854)
Wedgelets: nearly minimax estimation of edges (1999) (750)
Nonlinear Solution of Linear Inverse Problems by Wavelet–Vaguelette Decomposition (1995) (713)
Higher criticism for detecting sparse heterogeneous mixtures (2004) (707)
Sparse nonnegative solution of underdetermined linear equations by linear programming. (2005) (611)
Translation-Invariant DeNoising (1995) (601)
Breakdown Properties of Location Estimates Based on Halfspace Depth and Projected Outlyingness (1992) (592)
Gray and color image contrast enhancement by the curvelet transform (2003) (588)
WaveLab and Reproducible Research (1995) (580)
50 Years of Data Science (2017) (496)
Unconditional Bases Are Optimal Bases for Data Compression and for Statistical Estimation (1993) (493)
Data Compression and Harmonic Analysis (1998) (468)
Digital curvelet transform: strategy, implementation, and experiments (2000) (463)
Adapting to unknown sparsity by controlling the false discovery rate (2005) (459)
Message passing algorithms for compressed sensing: I. motivation and construction (2009) (435)
Redundant Multiscale Transforms and Their Application for Morphological Component Separation (2004) (434)
Observed universality of phase transitions in high-dimensional geometry, with implications for modern data analysis and signal processing (2009) (433)
Counting faces of randomly-projected polytopes when the projection radically lowers dimension (2006) (432)
Neighborliness of randomly projected simplices in high dimensions. (2005) (405)
High-Dimensional Centrally Symmetric Polytopes with Neighborliness Proportional to Dimension (2006) (393)
Measuring the predictive performance of computer-controlled infusion pumps (1992) (388)
Nonlinear Wavelet Methods for Recovery of Signals, Densities, and Spectra from Indirect and Noisy Da (1993) (381)
Ideal denoising in an orthonormal basis chosen from a library of bases (1994) (380)
The Noise-Sensitivity Phase Transition in Compressed Sensing (2010) (374)
Maximum Entropy and the Nearly Black Object (1992) (374)
k-t SPARSE: High frame rate dynamic MRI exploiting spatio-temporal sparsity (2006) (366)
The Optimal Hard Threshold for Singular Values is $4/\sqrt {3}$ (2013) (352)
Hessian Eigenmaps : new locally linear embedding techniques for high-dimensional data (2003) (349)
Recovering edges in ill-posed inverse problems: optimality of curvelet frames (2002) (342)
ON MINIMUM ENTROPY DECONVOLUTION (1981) (337)
An information-theoretic approach to traffic matrix estimation (2003) (331)
Continuous curvelet transform (2003) (308)
Morphological Component Analysis: An Adaptive Thresholding Strategy (2007) (307)
Superresolution via sparsity constraints (1992) (306)
Precise Undersampling Theorems (2010) (300)
Interpolating Wavelet Transforms (1992) (298)
Optimally Tuned Iterative Reconstruction Algorithms for Compressed Sensing (2009) (294)
Neighborly Polytopes And Sparse Solution Of Underdetermined Linear Equations (2005) (291)
Wavelet analysis [for signal processing] (1996) (291)
Continuous curvelet transform: II. Discretization and frames (2005) (284)
The Optimal Hard Threshold for Singular Values is 4 / √ 3 (2013) (282)
Does median filtering truly preserve edges better than linear filtering (2006) (281)
Reproducible Research in Computational Harmonic Analysis (2009) (274)
Astronomical image representation by the curvelet transform (2003) (271)
Statistical Estimation and Optimal Recovery (1994) (270)
Sparse Components of Images and Optimal Atomic Decompositions (2001) (269)
Geometrizing Rates of Convergence, III (1991) (266)
Continuous Curvelet Transform : I . Resolution of the Wavefront Set (2003) (256)
Beamlets and Multiscale Image Analysis (2002) (254)
Fast Solution of -Norm Minimization Problems When the Solution May Be Sparse (2008) (253)
CART AND BEST-ORTHO-BASIS: A CONNECTION' (1997) (250)
Orthonormal Ridgelets and Linear Singularities (2000) (233)
Curvelets, multiresolution representation, and scaling laws (2000) (233)
On denoising and best signal representation (1999) (231)
Multiscale Stepping-Stone Detection: Detecting Pairs of Jittered Interactive Streams by Exploiting Maximum Tolerable Delay (2002) (228)
In Wavelets and Statistics (1995) (225)
Maximal Sparsity Representation via l 1 Minimization (2002) (223)
Breakdown of equivalence between the minimal l1-norm solution and the sparsest solution (2006) (221)
A First Course in Wavelets with Fourier Analysis (2002) (219)
Counting the Faces of Randomly-Projected Hypercubes and Orthants, with Applications (2008) (212)
Minimax Risk Over Hyperrectangles, and Implications (1990) (209)
Multiscale Representations for Manifold-Valued Data (2005) (206)
The "Automatic" Robustness of Minimum Distance Functionals (1988) (204)
Fast and accurate Polar Fourier transform (2006) (199)
Fast Slant Stack: a notion of Radon transform for data in a Cartesian grid which is rapidly computable, algebraically exact, geometrically faithful and invertible (2003) (198)
Fast Slant Stack: a notion of Radon transform for data in a Cartesian grid which is rapidly computable, algebraically exact, geometrically faithful and invertible (2003) (198)
Higher criticism thresholding: Optimal feature selection when useful features are rare and weak (2008) (196)
On the stability of the basis pursuit in the presence of noise (2006) (193)
Signal recovery and the large sieve (1992) (190)
High dimensional robust M-estimation: asymptotic variance via approximate message passing (2013) (185)
Accurate Prediction of Phase Transitions in Compressed Sensing via a Connection to Minimax Denoising (2011) (172)
Estimating point-to-point and point-to-multipoint traffic matrices: an information-theoretic approach (2005) (172)
Optimal Shrinkage of Eigenvalues in the Spiked Covariance Model. (2013) (169)
Information-Theoretically Optimal Compressed Sensing via Spatial Coupling and Approximate Message Passing (2011) (167)
Near-optimal detection of geometric objects by fast multiscale methods (2005) (165)
An invitation to reproducible computational research. (2010) (162)
One-sided inference about functionals of a density (1988) (161)
Prevalence of neural collapse during the terminal phase of deep learning training (2020) (153)
Minimax Risk over l p-Balls for l q-error (1994) (149)
Minimax risk overlp-balls forlp-error (1994) (148)
Image Manifolds which are Isometric to Euclidean Space (2005) (145)
Projection-Based Approximation and a Duality with Kernel Methods (1989) (143)
NMR data processing using iterative thresholding and minimum l(1)-norm reconstruction. (2007) (140)
Message passing algorithms for compressed sensing: II. analysis and validation (2009) (139)
Optimal Shrinkage of Singular Values (2014) (134)
Morphological component analysis (2005) (127)
Minimax quadratic estimation of a quadratic functional (1990) (125)
Neural Proximal Gradient Descent for Compressive Imaging (2018) (124)
Minimax risk of matrix denoising by singular value thresholding (2013) (117)
Curvelets and Curvilinear Integrals (2001) (115)
A Framework for Discrete Integral Transformations I-The Pseudopolar Fourier Transform (2008) (113)
Thresholds for the Recovery of Sparse Solutions via L1 Minimization (2006) (112)
Higher Criticism for Large-Scale Inference: especially for Rare and Weak effects (2014) (110)
Microlocal Analysis of the Geometric Separation Problem (2010) (110)
Very high quality image restoration by combining wavelets and curvelets (2001) (110)
Wavelet Shrinkage and W.V.D.: A 10-minute tour (1997) (108)
Renormalization Exponents and Optimal Pointwise Rates of Convergence (1992) (106)
Information-theoretically optimal compressed sensing via spatial coupling and approximate message passing (2013) (106)
Special issue on diffusion maps and wavelets (2006) (101)
Smooth Wavelet Decompositions with Blocky Coefficient Kernels (1993) (97)
Asymptotic minimax risk for sup-norm loss: Solution via optimal recovery (1994) (92)
Deterministic matrices matching the compressed sensing phase transitions of Gaussian random matrices (2012) (90)
Deblocking of block-transform compressed images using weighted sums of symmetrically aligned pixels (2005) (90)
Breakdown Point of Model Selection When the Number of Variables Exceeds the Number of Observations (2006) (88)
Faster Imaging with Randomly Perturbed, Undersampled Spirals and |L|_1 Reconstruction (2004) (87)
Ridge Functions and Orthonormal Ridgelets (2001) (85)
SPIR-iT : Autocalibrating Parallel Imaging Compressed Sensing (2008) (85)
MCALab: Reproducible Research in Signal and Image Decomposition and Inpainting (2010) (85)
Minimax risk over / p-balls for / q-error (84)
Beamlet pyramids: a new form of multiresolution analysis suited for extracting lines, curves, and objects from very noisy image data (2000) (84)
Feature selection by higher criticism thresholding achieves the optimal phase diagram (2008) (80)
On Minimum Entropy Segmentation (1994) (80)
The multiscale structure of non-differentiable image manifolds (2005) (80)
Can recent innovations in harmonic analysis `explain' key findings in natural image statistics? (2001) (79)
Digital Ridgelet Transform Based on True Ridge Functions (2003) (78)
Estimating Covariances of Locally Stationary Processes : Rates of Convergence of Best Basis Methods (1998) (75)
Rapid MR Imaging with "Compressed Sensing" and Randomly Under-Sampled 3DFT Trajectories (2004) (75)
Unconditional Bases and Bit-Level Compression (1996) (75)
The quasi-periodic oscillations and very low frequency noise of Scorpius X-1 as transient chaos - A dripping handrail? (1993) (71)
Exponential Bounds Implying Construction of Compressed Sensing Matrices, Error-Correcting Codes, and Neighborly Polytopes by Random Sampling (2010) (71)
A Framework for Discrete Integral Transformations II-The 2D Discrete Radon Transform (2008) (70)
Denoising and robust nonlinear wavelet analysis (1994) (70)
Maximum entropy reconstruction of complex (phase-sensitive) spectra (1990) (68)
Nonlinear Pyramid Transforms Based on Median-Interpolation (2000) (68)
Neo-classical minimax problems, thresholding and adaptive function estimation (1996) (67)
Pathologies of some Minimum Distance Estimators (1988) (65)
The phase transition of matrix recovery from Gaussian measurements matches the minimax MSE of matrix denoising (2013) (62)
Does the maximum entropy method improve sensitivity? (1990) (61)
Asymptotic Minimaxity Of False Discovery Rate Thresholding For Sparse Exponential Data (2006) (60)
Application of basis pursuit in spectrum estimation (1998) (60)
Geometrizing Rates of Convergence , II (2008) (59)
MacSpin: dynamic graphics on a desktop computer (1988) (59)
Image decomposition: separation of texture from piecewise smooth content (2003) (57)
Aide-Memoire . High-Dimensional Data Analysis : The Curses and Blessings of Dimensionality (2000) (56)
Universal Near Minimaxity of Wavelet Shrinkage (1997) (56)
A Universal Identifier for Computational Results (2011) (56)
ASYMPTOTIC MINIMAXITY OF WAVELET ESTIMATORS WITH SAMPLED DATA (1999) (55)
Adaptive multiscale detection of filamentary structures embedded in a background of uniform random points (2003) (55)
Fast slant stack: a notion of Radon transform for data in a Cartesian grid which is rapidly computib (2001) (52)
Solution of l1Minimization Problems by LARS/Homotopy Methods (2006) (51)
The Simplest Solution to an Underdetermined System of Linear Equations (2006) (50)
Examples of basis pursuit (1995) (49)
On Lebesgue-type inequalities for greedy approximation (2007) (48)
Digital Implementation of Ridgelet Packets (2003) (46)
Recurrent Generative Adversarial Networks for Proximal Learning and Automated Compressive Image Recovery (2017) (46)
Improved linear discrimination using time-frequency dictionaries (1995) (45)
Neural Collapse Under MSE Loss: Proximity to and Dynamics on the Central Path (2021) (44)
The Kolmogorov Sampler (2002) (44)
Best basis algorithm for signal enhancement (1995) (42)
ADAPTIVE MULTISCALE DETECTION OF FILAMENTARY STRUCTURES IN A BACKGROUND OF UNIFORM RANDOM POINTS 1 (2006) (42)
Cosmological Non-Gaussian Signature Detection: Comparing Performance of Different Statistical Tests (2005) (42)
A fast wavelet algorithm for image deblurring (2005) (41)
Translation Invariant deconvolution in a Periodic Setting (2004) (39)
Image Denoising Techniques-An Overview (2014) (37)
Development of a digital shearlet transform based on Pseudo-Polar FFT (2009) (36)
Translation- and direction-invariant denoising of 2D and 3D images: experience and algorithms (1996) (36)
Morphology of the Galaxy Distribution from Wavelet Denoising (2005) (36)
Beamlab and Reproducible Research (2004) (34)
Curvelets and reconstruction of images from noisy radon data (2000) (34)
Geometric Separation using a Wavelet-Shearlet Dictionary (2010) (33)
Connect the dots: how many random points can a regular curve pass through? (2005) (33)
A simple and robust modulation classification method via counting (1998) (33)
Optimal reduced-rank quadratic classifiers using the Fukunaga-Koontz transform with applications to automated target recognition (2003) (32)
How to Design Message Passing Algorithms for Compressed Sensing (2011) (32)
Estimating covariances of locally stationary processes: consistency of best basis methods (1996) (31)
15 Years of Reproducible Research in Computational Harmonic Analysis (2008) (30)
Fast X-Ray and Beamlet Transforms for Three-Dimensional Data (2002) (30)
Combined image representation using edgelets and wavelets (1999) (30)
Tight frames of k-plane ridgelets and the problem of representing objects that are smooth away from d-dimensional singularities in Rn. (1999) (29)
Making massive computational experiments painless (2016) (27)
Compressed Sensing over ℓp-balls: Minimax mean square error (2011) (26)
Wavelet Applications VIII (1996) (25)
Accurate and fast discrete polar Fourier transform (2003) (24)
Smooth Multiwavelet Duals of Alpert Bases by Moment-Interpolating Refinement (2000) (24)
Recovering layers of brush strokes through statistical analysis of color and shape: an application to van Gogh's Self portrait with grey felt hat (2008) (23)
APPLICATIONS OF BEAMLETS TO DETECTION AND EXTRACTION OF LINES , CURVES AND OBJECTS IN VERY NOISY IMAGES (2001) (23)
Robust nonlinear wavelet transform based on median-interpolation (1997) (23)
The science of deep learning (2020) (22)
Multiscale geometric analysis for 3D catalogs (2002) (20)
Multiscale morphology of the galaxy distribution (2006) (20)
Analysis of the Spatial Distribution of Galaxies by Multiscale Methods (2004) (20)
Freely Available, Optimally Tuned Iterative Thresholding Algorithms for Compressed Sensing (2009) (19)
Variance Breakdown of Huber ( M )-estimators : n / p → m ∈ ( 1 , ∞ ) (2015) (19)
The Curvelet Transform for Image (2000) (19)
Sparsity and the Bayesian perspective (2013) (18)
Recent advances in sparsity-driven signal recovery (2005) (18)
Locally stationary covariance and signal estimation with macrotiles (2003) (17)
Discussion: Projection Pursuit (1985) (17)
Multiscale Geometric Analysis for 3-D Catalogues (2002) (16)
A note on rearrangements, spectral concentration, and the zero-order prolate spheroidal wavefunction (1993) (16)
High-resolution navigation on non-differentiable image manifolds (2005) (15)
Virtual Northern Analysis of the Human Genome (2007) (15)
A RATIONAL DESIGN OF A DIGITAL SHEARLET TRANSFORM (2010) (14)
The Use of Kinematic Displays to Represent High Dimensional Data (1981) (14)
Three Dream Applications of Verifiable Computational Results (2012) (14)
Multiscale detection of filamentary features in image data (2003) (13)
High dimensional robust M-estimation: asymptotic variance via approximate message passing (2015) (13)
Variance Breakdown of Huber (M)-estimators: $n/p \rightarrow m \in (1,\infty)$ (2015) (13)
Smoothing and Robust Wavelet Analysis (1994) (13)
Wald Lecture I: Counting Bits with Kolmogorov and Shannon (2007) (13)
Is Patience a Virtue? The Unsentimental Case for the Long View in Evaluating Returns (2010) (13)
The minimax noise sensitivity in compressed sensing (2013) (12)
Neo-Classical Minimax Problems , Thresholding , and Adaptation (1994) (12)
Ambitious Data Science Can Be Painless (2019) (12)
Scanning the Technology (2010) (12)
Supporting Information to: Message Passing Algorithms for Compressed Sensing (2009) (12)
On Minimax Estimation of Linear Functionals (2008) (11)
Emerging applications of geometric multiscale analysis (2002) (10)
Compressed Sensing over $\ell_p$-balls: Minimax Mean Square Error (2011) (10)
Recovering filamentary objects in severely degraded binary images using beamlet-driven partitioning (2002) (10)
Abstract Statistical Estimation and Modern Harmonic Analysis (1995) (10)
Achieving Bayes MMSE performance in the sparse signal + Gaussian white noise model when the noise level is unknown (2013) (9)
When does geodesic distance recover the true hidden parametrization of families of articulated images? (2002) (9)
Higher criticism to compare two large frequency tables, with sensitivity to possible rare and weak differences (2020) (8)
Deslauries-Dubuc: Ten years after (1999) (8)
Optimal Covariance Estimation for Condition Number Loss in the Spiked Model. (2018) (8)
The sensitivity of compressed sensing performance to relaxation of sparsity (2012) (7)
Degrees of Freedom Analysis of Unrolled Neural Networks (2019) (7)
JBEAM: coding lines and curves via digital beamlets (2004) (7)
The Morphlet Transform : A Multiscale Representation for Diffeomorphisms (2006) (7)
ScreeNOT: Exact MSE-optimal singular value thresholding in correlated noise (2020) (6)
Fast spiral Fourier transform for iterative MR image reconstruction (2004) (6)
NONLINEAR “ WAVELET TRANSFORMS ” BASED ON MEDIAN-INTERPOLATION (1997) (6)
Deblocking of block-DCT compressed images using deblocking frames of variable size (2002) (6)
Two-sample Testing for Large, Sparse High-Dimensional Multinomials under Rare/Weak Perturbations (2020) (6)
Multiscale representation for data on the sphere and applications to geopotential data (2007) (6)
Convolutional Imputation of Matrix Networks (2016) (6)
Morphological Component Analysis : new Results (2006) (5)
Sparsity/Undersampling Tradeoffs in Anisotropic Undersampling, with Applications in MR Imaging/Spectroscopy (2017) (5)
Characteristics of Network Delays in Wide Area File Transfers (2002) (4)
DENSITY ESTIMATION BY WAVELET THRESHOLDING 1 (4)
Renormalizing Experiments for Nonlinear Functionals (1997) (4)
Recurrent Generative Residual Networks for Proximal Learning and Automated Compressive Image Recovery (2018) (4)
Recovery of a Sparse Signal When the Low Frequency Information is Missing By (2008) (3)
Analysis of lscr1 minimization in the Geometric Separation Problem (2008) (3)
Two-sample Testing of Discrete Distributions under Rare/Weak Perturbations (2021) (3)
Incoherence of Partial-Component Sampling in multidimensional NMR (2017) (3)
Convex Sparse Blind Deconvolution (2021) (3)
Minimax Risk for Hyperrectangles (2008) (3)
Years of Data Science (2017) (3)
Hardest One-Dimensional Subproblems (2008) (3)
Multivariate Generalizations of the Median and Trimmed Mean , I (2008) (3)
Multiscale geometric analysis of three-dimensional data (2004) (3)
Data compression and harmonic analysis (invited paper) (2000) (3)
Gel ' fand n-Widths and the Method of Least Squares (2008) (3)
NATURE VS . MATH : INTERPRETING INDEPENDENT COMPONENT ANALYSIS IN LIGHT OF COMPUTATIONAL HARMONIC ANALYSIS (2000) (3)
Minds must unite (2005) (2)
Explorer Precise Undersampling Theorems (2010) (2)
From Blackboard to Bedside: High-dimensional Geometry is Transforming the MRI Industry (2018) (2)
On the Inability of the Higher Criticism to Detect Rare/Weak Departures (2021) (2)
Implications for Image Watermarking of Recent Work in Image Analysis and Representation (2002) (2)
Virtual Northern analysis of the human genome. (2007) (2)
The Impossibility Region for Detecting Sparse Mixtures using the Higher Criticism (2021) (2)
Adaptive Multiscale Detection of Smooth Curves Embedded in a Background of Uniform Random Points (2003) (2)
NUScon: A community-driven platform for quantitative evaluation of nonuniform sampling in NMR (2021) (2)
Dream applications of verifiable computational results (2013) (1)
What’s Missing from Today’s Machine Intelligence Juggernaut? (2019) (1)
Signal and Covariance Estimation with Macrotiles (2001) (1)
Wavelet applications VIII : 18-20 April 2001, Orlando, USA (2001) (1)
Optimal Eigenvalue Shrinkage in the Semicircle Limit (2022) (1)
Karhunen-Loeve multispectral and multiscale image restoration (2000) (1)
Evaluation of large clinical datasets using an interactive graphics system (PRIM/H) (1982) (1)
Dynamic Programming Methods for “ Connect the Dots ” in Scattered Point Clouds (2007) (1)
OPTIMAL SHRINKAGE OF SINGULAR VALUES By Matan Gavish (2014) (0)
Script Sharing Based on PSEs 3 . 1 PSEs O ↵ er Power and Simplicity (2016) (0)
Gray and Color Image C . ontrast Enhanceme 11 t by the Cllrvelet Transform (2009) (0)
When do libraries of articulated images obey an isometric embedding ? (2003) (0)
Nonnegativity and Bound Constrains for Compressed Sensing (2009) (0)
Wavelet shrinkage techniques for images (2020) (0)
Appendix : Convolutional Imputation of Matrix Networks (2018) (0)
APR volume 37 issue 4 Cover and Front matter (2002) (0)
Recovery Based on Kolmogorov Complexity in Underdetermined Systems of Linear Equations (0)
FROM BLACKBOARD TO BEDSIDE - GAUβ PRIZE LECTURE (2019) (0)
Introduction to the Special Issue on Harmonic Analysis in Machine Learning (2021) (0)
Title: Graph Gauge Theory and Vector Diffusion Maps Title: a Random Walk on Image Patches Title: Dimension Reduction, Coarse-graining and Data Assimilation in High-dimensional Dynamical Systems Title: Geometry and Topology in Dimension Reduction Title: Optimal Phase Transitions in Compressed Sensing (0)
Convex Sparse Blind Deconvolution: Phase Transition, Observation Sample Complexity, Stability, Robustness (2020) (0)
practical results can be achieved with a very small number of images. (2010) (0)
Data Display 51 e MacSpin: Dynamic Graphics on a Desktop Computer (1988) (0)
CART AND BEST-ORTHO-BASIS: A CONNECTION 1 (1997) (0)
Data Come First: Discussion of “Co-citation and Co-authorship Networks of Statisticians” (2022) (0)
1 Introduction 1 . 1 Polar Fourier Transform (2005) (0)
AI and the Digitized Photoarchive (2021) (0)
Dear Information and Inference Reader (2012) (0)
A Hybrid Image Denoising Method (2016) (0)
THE PATH FROM RESEARCH TO HUMAN BENEFIT (0)
Dart: a tool for research in data analysis (graphics, statistical, languages, software) (1984) (0)
Sparse Data, Beautiful Mine (2010) (0)
HIGHER CRITICISM FOR DETECTING SPARSE HETEROGENEOUS MIXTURES1 BY DAVID DONOHO (2004) (0)
1 Universal Near Minimaxity of Wavelet Shrinkage (1999) (0)
New Computational Challenges in Cosmology a Proposal Submitted to the Nsf Kdi New Computational Challenges Program (0)
Efficient representation of object classes with applications to inverse problems (2001) (0)
Nonlinear and robust signal extraction based on wavelets (1993) (0)
DNA Barcodes and Watermarks BESTAVAILABt ^ iCOPY 20040809 028 (0)
FPGA Implementation of Hearing Aids using Stationary Wavelet-Packets for Denoising (2015) (0)
How to compute accurate traffic matrices for your network in seconds (2003) (0)
CAN A REGULAR CURVE PASS THROUGH (2005) (0)
Universal Near Minimaxity of (1997) (0)
Experience and Algorithms (2017) (0)

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