Mike E. Davies

According to our database, Mike E. Davies authored at least 173 papers between 2002 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Spline Sketches: An Efficient Approach for Photon Counting Lidar.

Michael P. Sheehan, Julián Tachella, Mike E. Davies

IEEE Trans. Computational Imaging, 2024

UNSURE: Unknown Noise level Stein's Unbiased Risk Estimator.

Julián Tachella, Mike E. Davies, Laurent Jacques

CoRR, 2024

Implementation of AKKF-based Multi-Sensor Fusion Methods in Stone Soup.

James S. Wright, Mengwei Sun, Mike E. Davies, Ian K. Proudler, James R. Hopgood

Proceedings of the 27th International Conference on Information Fusion, 2024

2023

Divergence Estimation in Message Passing Algorithms.

Nikolajs Skuratovs, Mike E. Davies

IEEE Trans. Inf. Theory, November, 2023

Adaptive Kernel Kalman Filter.

Mengwei Sun, Mike E. Davies, Ian K. Proudler, James R. Hopgood

IEEE Trans. Signal Process., 2023

Imaging With Equivariant Deep Learning: From unrolled network design to fully unsupervised learning.

Dongdong Chen, Mike E. Davies, Matthias J. Ehrhardt, Carola-Bibiane Schönlieb, Ferdia Sherry, Julián Tachella

IEEE Signal Process. Mag., 2023

Sensing Theorems for Unsupervised Learning in Linear Inverse Problems.

Julián Tachella, Dongdong Chen, Mike E. Davies

J. Mach. Learn. Res., 2023

Self-Supervised Learning for Image Super-Resolution and Deblurring.

Jérémy Scanvic, Mike E. Davies, Patrice Abry, Julián Tachella

CoRR, 2023

Hardware Friendly Spline Sketched Lidar.

Michael P. Sheehan, Julián Tachella, Mike E. Davies

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Dual Convolutional Neural Networks for Breast Mass Segmentation and Diagnosis in Mammography.

Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, David I. Laurenson

IEEE Trans. Medical Imaging, 2022

Compressed Sensing With Upscaled Vector Approximate Message Passing.

Nikolajs Skuratovs, Michael E. Davies

IEEE Trans. Inf. Theory, 2022

Staggered Coprime Pulse Repetition Frequencies Synthetic Aperture Radar (SCopSAR).

Abdulmalik Aldharrab, Mike E. Davies

IEEE Trans. Geosci. Remote. Sens., 2022

Adaptive Kernel Kalman Filter Based Belief Propagation Algorithm for Maneuvering Multi-Target Tracking.

Mengwei Sun, Mike E. Davies, Ian K. Proudler, James R. Hopgood

IEEE Signal Process. Lett., 2022

A Gaussian Process Regression based Dynamical Models Learning Algorithm for Target Tracking.

Mengwei Sun, Mike E. Davies, Ian K. Proudler, James R. Hopgood

CoRR, 2022

Imaging with Equivariant Deep Learning.

Dongdong Chen, Mike E. Davies, Matthias J. Ehrhardt, Carola-Bibiane Schönlieb, Ferdia Sherry, Julián Tachella

CoRR, 2022

Sampling Theorems for Unsupervised Learning in Linear Inverse Problems.

Julián Tachella, Dongdong Chen, Mike E. Davies

CoRR, 2022

Sampling Theorems for Learning from Incomplete Measurements.

Julián Tachella, Dongdong Chen, Mike E. Davies

CoRR, 2022

Unsupervised Learning From Incomplete Measurements for Inverse Problems.

Julián Tachella, Dongdong Chen, Mike E. Davies

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Performance Evaluation of Simultaneous Sensor Registration and Object Tracking Algorithm.

Sofie Macdonald, Ian K. Proudler, Michael E. Davies, James R. Hopgood

Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2022

Warm-Starting in Message Passing algorithms.

Nikolajs Skuratovs, Mike E. Davies

Proceedings of the IEEE International Symposium on Information Theory, 2022

Deep Unrolling for Magnetic Resonance Fingerprinting.

Dongdong Chen, Mike E. Davies, Mohammad Golbabaee

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Sketched RT3D: How to Reconstruct Billions of Photons Per Second.

Julián Tachella, Michael P. Sheehan, Mike E. Davies

Proceedings of the IEEE International Conference on Acoustics, 2022

Robust Equivariant Imaging: a fully unsupervised framework for learning to image from noisy and partial measurements.

Dongdong Chen, Julián Tachella, Mike E. Davies

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Robust 3D Reconstruction of Dynamic Scenes From Single-Photon Lidar Using Beta-Divergences.

Quentin Legros, Julián Tachella, Rachael Tobin, Aongus McCarthy, Sylvain Meignen, Gerald S. Buller, Yoann Altmann, Steve McLaughlin, Michael E. Davies

IEEE Trans. Image Process., 2021

A Sketching Framework for Reduced Data Transfer in Photon Counting Lidar.

Michael P. Sheehan, Julián Tachella, Mike E. Davies

IEEE Trans. Computational Imaging, 2021

A Stochastic Proximal Alternating Minimization for Nonsmooth and Nonconvex Optimization.

Derek Driggs, Junqi Tang, Jingwei Liang, Mike E. Davies, Carola-Bibiane Schönlieb

SIAM J. Imaging Sci., 2021

Compressive MRI quantification using convex spatiotemporal priors and deep encoder-decoder networks.

Mohammad Golbabaee, Guido Buonincontri, Carolin M. Pirkl, Marion I. Menzel, Bjoern H. Menze, Mike E. Davies, Pedro A. Gómez

Medical Image Anal., 2021

Bayesian Activity Estimation and Uncertainty Quantification of Spent Nuclear Fuel Using Passive Gamma Emission Tomography.

Ahmed Karam Eldaly, Ming Fang, Angela Di Fulvio, Steve McLaughlin, Mike E. Davies, Yoann Altmann, Yves Wiaux

J. Imaging, 2021

Compressive Independent Component Analysis: Theory and Algorithms.

Michael P. Sheehan, Mike E. Davies

CoRR, 2021

Equivariant Imaging: Learning Beyond the Range Space.

Dongdong Chen, Julián Tachella, Mike E. Davies

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Adaptive Kernel Kalman Filter Multi-Sensor Fusion.

Mengwei Sun, Michael E. Davies, James R. Hopgood, Ian K. Proudler

Proceedings of the 24th IEEE International Conference on Information Fusion, 2021

Surface Detection for Sketched Single Photon Lidar.

Michael P. Sheehan, Julián Tachella, Mike E. Davies

Proceedings of the 29th European Signal Processing Conference, 2021

The Neural Tangent Link Between CNN Denoisers and Non-Local Filters.

Julián Tachella, Junqi Tang, Mike E. Davies

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Fast Online 3D Reconstruction of Dynamic Scenes From Individual Single-Photon Detection Events.

Yoann Altmann, Steve McLaughlin, Michael E. Davies

IEEE Trans. Image Process., 2020

The Practicality of Stochastic Optimization in Imaging Inverse Problems.

Junqi Tang, Karen O. Egiazarian, Mohammad Golbabaee, Mike E. Davies

IEEE Trans. Computational Imaging, 2020

($\ell _1, \ell _2$)-RIP and Projected Back-Projection Reconstruction for Phase-Only Measurements.

Thomas Feuillen, Mike E. Davies, Luc Vandendorpe, Laurent Jacques

IEEE Signal Process. Lett., 2020

Compressive Computed Tomography Reconstruction through Denoising Approximate Message Passing.

Alessandro Perelli, Michael A. Lexa, Ali Can, Mike E. Davies

SIAM J. Imaging Sci., 2020

COIN: Contrastive Identifier Network for Breast Mass Diagnosis in Mammography.

Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, David Laurenson

CoRR, 2020

One Bit to Rule Them All : Binarizing the Reconstruction in 1-bit Compressive Sensing.

Thomas Feuillen, Mike E. Davies, Luc Vandendorpe, Laurent Jacques

CoRR, 2020

A Fast Stochastic Plug-and-Play ADMM for Imaging Inverse Problems.

Junqi Tang, Mike E. Davies

CoRR, 2020

CNN Denoisers as Non-Local Filters: The Neural Tangent Denoiser.

Julián Tachella, Junqi Tang, Mike E. Davies

CoRR, 2020

Compressive MRI quantification using convex spatiotemporal priors and deep auto-encoders.

Mohammad Golbabaee, Guido Bounincontri, Carolin M. Pirkl, Marion I. Menzel, Bjoern H. Menze, Mike E. Davies, Pedro A. Gómez

CoRR, 2020

Compressive MR Fingerprinting Reconstruction with Neural Proximal Gradient Iterations.

Dongdong Chen, Mike E. Davies, Mohammad Golbabaee

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Joint Robust Linear Regression and Anomaly Detection in Poisson noise using Expectation-Propagation.

Dan Yao, Yoann Altmann, Steve McLaughlin, Mike E. Davies

Proceedings of the 28th European Signal Processing Conference, 2020

DeepMP for Non-Negative Sparse Decomposition.

Konstantinos A. Voulgaris, Mike E. Davies, Mehrdad Yaghoobi

Proceedings of the 28th European Signal Processing Conference, 2020

Deep Decomposition Learning for Inverse Imaging Problems.

Dongdong Chen, Mike E. Davies

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Sparsity-Driven GMTI Processing Framework With Multichannel SAR.

Di Wu, Mehrdad Yaghoobi, Mike E. Davies

IEEE Trans. Geosci. Remote. Sens., 2019

(l1, l2)-RIP and Projected Back-Projection Reconstruction for Phase-Only Measurements.

Thomas Feuillen, Mike E. Davies, Luc Vandendorpe, Laurent Jacques

CoRR, 2019

Compressive Learning for Semi-Parametric Models.

Michael P. Sheehan, Antoine Gonon, Mike E. Davies

CoRR, 2019

Revisiting hard thresholding for DNN pruning.

Konstantinos Pitas, Mike E. Davies, Pierre Vandergheynst

CoRR, 2019

Signed Laplacian Deep Learning with Adversarial Augmentation for Improved Mammography Diagnosis.

Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, David I. Laurenson

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

The Limitation and Practical Acceleration of Stochastic Gradient Algorithms in Inverse Problems.

Junqi Tang, Karen O. Egiazarian, Mike E. Davies

Proceedings of the IEEE International Conference on Acoustics, 2019

Hyper-parameter Learning for Sparse Structured Probabilistic Models.

Tatiana Shpakova, Francis R. Bach, Mike E. Davies

Proceedings of the IEEE International Conference on Acoustics, 2019

A Deep Dual-path Network for Improved Mammogram Image Processing.

Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, Dave Laurenson

Proceedings of the IEEE International Conference on Acoustics, 2019

Geometry of Deep Learning for Magnetic Resonance Fingerprinting.

Mohammad Golbabaee, Dongdong Chen, Pedro A. Gómez, Marion I. Menzel, Mike E. Davies

Proceedings of the IEEE International Conference on Acoustics, 2019

Expectation-propagation Algorithms for Linear Regression with Poisson Noise: Application to Photon-limited Spectral Unmixing.

Yoann Altmann, Alessandro Perelli, Mike E. Davies

Proceedings of the IEEE International Conference on Acoustics, 2019

Compressive Independent Component Analysis.

Michael P. Sheehan, Madeleine S. Kotzagiannidis, Mike E. Davies

Proceedings of the 27th European Signal Processing Conference, 2019

2018

Inexact Gradient Projection and Fast Data Driven Compressed Sensing.

Mohammad Golbabaee, Mike E. Davies

IEEE Trans. Inf. Theory, 2018

Performance Analysis of Approximate Message Passing for Distributed Compressed Sensing.

Gabor Hannak, Alessandro Perelli, Norbert Goertz, Gerald Matz, Mike E. Davies

IEEE J. Sel. Top. Signal Process., 2018

Analysis vs Synthesis with Structure - An Investigation of Union of Subspace Models on Graphs.

Madeleine S. Kotzagiannidis, Mike E. Davies

CoRR, 2018

CoverBLIP: accelerated and scalable iterative matched-filtering for Magnetic Resonance Fingerprint reconstruction.

Mohammad Golbabaee, Zhouye Chen, Yves Wiaux, Mike E. Davies

CoRR, 2018

Balanced multi-shot EPI for accelerated Cartesian MRF: An alternative to spiral MRF.

Arnold Julian Vinoj Benjamin, Pedro A. Gómez, Mohammad Golbabaee, Tim Sprenger, Marion I. Menzel, Mike E. Davies, Ian Marshall

CoRR, 2018

CoverBLIP: scalable iterative matched filtering for MR Fingerprint recovery.

Mohammad Golbabaee, Zhouye Chen, Yves Wiaux, Mike E. Davies

CoRR, 2018

A deep learning approach for Magnetic Resonance Fingerprinting.

Mohammad Golbabaee, Dongdong Chen, Pedro A. Gómez, Marion I. Menzel, Mike E. Davies

CoRR, 2018

Learning Discriminative Representation with Signed Laplacian Restricted Boltzmann Machine.

Dongdong Chen, Jiancheng Lv, Mike E. Davies

CoRR, 2018

FeTa: A DCA Pruning Algorithm with Generalization Error Guarantees.

Konstantinos Pitas, Mike E. Davies, Pierre Vandergheynst

CoRR, 2018

PAC-Bayesian Margin Bounds for Convolutional Neural Networks - Technical Report.

Konstantinos Pitas, Mike E. Davies, Pierre Vandergheynst

CoRR, 2018

Rest-Katyusha: Exploiting the Solution's Structure via Scheduled Restart Schemes.

Junqi Tang, Mohammad Golbabaee, Francis R. Bach, Mike E. Davies

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Direct Estimation of Pharmacokinetic Parameters from DCE-MRI Using Deep CNN with Forward Physical Model Loss.

Cagdas Ulas, Giles Tetteh, Michael J. Thrippleton, Paul A. Armitage, Stephen D. Makin, Joanna M. Wardlaw, Mike E. Davies, Bjoern H. Menze

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Improved Breast Mass Segmentation in Mammograms with Conditional Residual U-Net.

Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, David Laurenson

Proceedings of the Image Analysis for Moving Organ, Breast, and Thoracic Images, 2018

Analysis vs Synthesis - An Investigation of (Co)sparse Signal Models on Graphs.

Madeleine S. Kotzagiannidis, Mike E. Davies

Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

Anomaly Detection with High Resolution Hyperspectral Observations.

Cecile Chenot, Mehrdad Yaghoobi, Mike E. Davies, Yoann Altmann

Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

2017

Recipes for Stable Linear Embeddings From Hilbert Spaces to ℝ^m.

Gilles Puy, Mike E. Davies, Rémi Gribonval

IEEE Trans. Inf. Theory, 2017

Compressed sensing in Hilbert spaces.

Yann Traonmilin, Gilles Puy, Rémi Gribonval, Mike E. Davies

CoRR, 2017

Cover tree compressed sensing for fast mr fingerprint recovery.

Mohammad Golbabaee, Zhouye Chen, Yves Wiaux, Mike E. Davies

Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

Can Planning Images Reduce Scatter in Follow-Up Cone-Beam CT?

Jonathan H. Mason, Alessandro Perelli, William H. Nailon, Mike E. Davies

Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017

Quantitative Electron Density CT Imaging for Radiotherapy Planning.

Jonathan H. Mason, Alessandro Perelli, William H. Nailon, Mike E. Davies

Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017

A Monte Carlo Framework for Low Dose CT Reconstruction Testing.

Jonathan H. Mason, William H. Nailon, Mike E. Davies

Proceedings of the Simulation and Synthesis in Medical Imaging, 2017

Gradient Projection Iterative Sketch for Large-Scale Constrained Least-Squares.

Junqi Tang, Mohammad Golbabaee, Mike E. Davies

Proceedings of the 34th International Conference on Machine Learning, 2017

Exploiting the structure via sketched gradient algorithms.

Junqi Tang, Mohammad Golbabaee, Mike E. Davies

Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

Multi denoising approximate message passing for optimal recovery with lower computational cost.

Alessandro Perelli, Mike E. Davies

Proceedings of the 25th European Signal Processing Conference, 2017

Time-data trade-off in the sparse Fourier transform.

Abdulmalik Aldharrab, Mike E. Davies

Proceedings of the 25th European Signal Processing Conference, 2017

2016

Denoising Message Passing for X-ray Computed Tomography Reconstruction.

Alessandro Perelli, Michael A. Lexa, Ali Can, Mike E. Davies

CoRR, 2016

A new approach for multi-dimensional signal processing and modelling for signals from gel electrophoresis.

Ebtihal H. G. Yousif, James R. Hopgood, John S. Thompson, Mike E. Davies

Proceedings of the 24th European Signal Processing Conference, 2016

2015

Near Optimal Compressed Sensing Without Priors: Parametric SURE Approximate Message Passing.

Chunli Guo, Mike E. Davies

IEEE Trans. Signal Process., 2015

Fast Non-Negative Orthogonal Matching Pursuit.

Mehrdad Yaghoobi, Di Wu, Mike E. Davies

IEEE Signal Process. Lett., 2015

Dictionary Learning for Fast Classification Based on Soft-thresholding.

Alhussein Fawzi, Mike E. Davies, Pascal Frossard

Int. J. Comput. Vis., 2015

Recipes for stable linear embeddings from Hilbert spaces to $\mathbb{R}^m$.

Gilles Puy, Mike E. Davies, Rémi Gribonval

CoRR, 2015

Fast non-negative orthogonal least squares.

Mehrdad Yaghoobi, Mike E. Davies

Proceedings of the 23rd European Signal Processing Conference, 2015

Linear embeddings of low-dimensional subsets of a Hilbert space to R^m.

Gilles Puy, Mike E. Davies, Rémi Gribonval

Proceedings of the 23rd European Signal Processing Conference, 2015

Compressive computed tomography image reconstruction with denoising message passing algorithms.

Alessandro Perelli, Mike E. Davies

Proceedings of the 23rd European Signal Processing Conference, 2015

2014

Dictionary Subselection Using an Overcomplete Joint Sparsity Model.

Mehrdad Yaghoobi, Laurent Daudet, Michael E. Davies

IEEE Trans. Signal Process., 2014

Fundamental Performance Limits for Ideal Decoders in High-Dimensional Linear Inverse Problems.

Anthony Bourrier, Mike E. Davies, Tomer Peleg, Patrick Pérez, Rémi Gribonval

IEEE Trans. Inf. Theory, 2014

Sparsity-based autofocus for undersampled synthetic aperture radar.

Shaun Kelly, Mehrdad Yaghoobi, Mike E. Davies

IEEE Trans. Aerosp. Electron. Syst., 2014

Iterative Recovery of Dense Signals from Incomplete Measurements.

Norbert Goertz, Chunli Guo, Alexander Jung, Mike E. Davies, Gerhard Doblinger

IEEE Signal Process. Lett., 2014

A Compressed Sensing Framework for Magnetic Resonance Fingerprinting.

Mike E. Davies, Gilles Puy, Pierre Vandergheynst, Yves Wiaux

SIAM J. Imaging Sci., 2014

Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14).

Laurent Jacques, Christophe De Vleeschouwer, Yannick Boursier, Prasad Sudhakar, C. De Mol, Aleksandra Pizurica, Sandrine Anthoine, Pierre Vandergheynst, Pascal Frossard, Cagdas Bilen, Srdan Kitic, Nancy Bertin, Rémi Gribonval, Nicolas Boumal, Bamdev Mishra, Pierre-Antoine Absil, Rodolphe Sepulchre, Shaun Bundervoet, Colas Schretter, Ann Dooms, Peter Schelkens, Olivier Chabiron, François Malgouyres, Jean-Yves Tourneret, Nicolas Dobigeon, Pierre Chainais, Cédric Richard, Bruno Cornelis, Ingrid Daubechies, David B. Dunson, Marie Danková, Pavel Rajmic, Kévin Degraux, Valerio Cambareri, Bert Geelen, Gauthier Lafruit, Gianluca Setti, Jean-François Determe, Jérôme Louveaux, François Horlin, Angélique Drémeau, Patrick Héas, Cédric Herzet, Vincent Duval, Gabriel Peyré, Alhussein Fawzi, Mike E. Davies, Nicolas Gillis, Stephen A. Vavasis, Charles Soussen, Luc Le Magoarou, Jingwei Liang, Jalal Fadili, Antoine Liutkus, David Martina, Sylvain Gigan, Laurent Daudet, Mauro Maggioni, Stanislav Minsker, Nate Strawn, C. Mory, Fred Maurice Ngolè Mboula, Jean-Luc Starck, Ignace Loris, Samuel Vaiter, Mohammad Golbabaee, Dejan Vukobratovic

CoRR, 2014

A low-complexity sub-Nyquist sampling system for wideband Radar ESM receivers.

Mehrdad Yaghoobi, Michael A. Lexa, Fabien Millioz, Mike E. Davies

Proceedings of the IEEE International Conference on Acoustics, 2014

Modulated measurement matrix design for compressed sensing.

Chunli Guo, Mike E. Davies

Proceedings of the IEEE International Conference on Acoustics, 2014

Compressed quantitative MRI: Bloch response recovery through iterated projection.

Mike E. Davies, Gilles Puy, Pierre Vandergheynst, Yves Wiaux

Proceedings of the IEEE International Conference on Acoustics, 2014

Bayesian optimal compressed sensing without priors: Parametric sure approximate message passing.

Chunli Guo, Mike E. Davies

Proceedings of the 22nd European Signal Processing Conference, 2014

2013

Constrained Overcomplete Analysis Operator Learning for Cosparse Signal Modelling.

Mehrdad Yaghoobi, Sangnam Nam, Rémi Gribonval, Mike E. Davies

IEEE Trans. Signal Process., 2013

Sample Distortion for Compressed Imaging.

Chunli Guo, Mike E. Davies

IEEE Trans. Signal Process., 2013

Sample allocation for statistical multiresolution compressed sensing.

Chunli Guo, Mike E. Davies

Proceedings of the IEEE International Conference on Acoustics, 2013

Compressed sensing and best approximation from unions of subspaces: Beyond dictionaries.

Tomer Peleg, Rémi Gribonval, Mike E. Davies

Proceedings of the 21st European Signal Processing Conference, 2013

2012

Reconciling Compressive Sampling Systems for Spectrally Sparse Continuous-Time Signals.

Michael A. Lexa, Mike E. Davies, John S. Thompson

IEEE Trans. Signal Process., 2012

Compressible Distributions for High-Dimensional Statistics.

Rémi Gribonval, Volkan Cevher, Mike E. Davies

IEEE Trans. Inf. Theory, 2012

Rank Awareness in Joint Sparse Recovery.

Mike E. Davies, Yonina C. Eldar

IEEE Trans. Inf. Theory, 2012

Recovery Guarantees for Rank Aware Pursuits.

Jeffrey D. Blanchard, Mike E. Davies

IEEE Signal Process. Lett., 2012

Advanced image formation and processing of partial synthetic aperture radar data.

Shaun Kelly, Chaoran Du, Gabriel Rilling, Mike E. Davies

IET Signal Process., 2012

Optimal Dictionary Selection Using an Overcomplete Joint Sparsity Model

Mehrdad Yaghoobi, Laurent Daudet, Michael E. Davies

CoRR, 2012

Noise aware analysis operator learning for approximately cosparse signals.

Mehrdad Yaghoobi, Sangnam Nam, Rémi Gribonval, Michael E. Davies

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Computational methods for structured sparse component analysis of convolutive speech mixtures.

Afsaneh Asaei, Michael E. Davies, Hervé Bourlard, Volkan Cevher

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Greedy algorithms for compressed sensing.

Thomas Blumensath, Michael E. Davies, Gabriel Rilling

Proceedings of the Compressed Sensing, 2012

2011

A New Framework for Underdetermined Speech Extraction Using Mixture of Beamformers.

Mohammad A. Dmour, Mike E. Davies

IEEE Trans. Speech Audio Process., 2011

Compressive and Noncompressive Power Spectral Density Estimation from Periodic Nonuniform Samples

Michael A. Lexa, Mike E. Davies, John S. Thompson

CoRR, 2011

The Cosparse Analysis Model and Algorithms

Sangnam Nam, Mike E. Davies, Michael Elad, Rémi Gribonval

CoRR, 2011

Cosparse analysis modeling - uniqueness and algorithms.

Sangnam Nam, Michael E. Davies, Michael Elad, Rémi Gribonval

Proceedings of the IEEE International Conference on Acoustics, 2011

Detection and segmentation of fmcw radar signals based on the chirplet transform.

Fabien Millioz, Michael E. Davies

Proceedings of the IEEE International Conference on Acoustics, 2011

Compressive power spectral density estimation.

Michael A. Lexa, Mike E. Davies, John S. Thompson, Janosch Nikolic

Proceedings of the IEEE International Conference on Acoustics, 2011

Analysis operator learning for overcomplete cosparse representations.

Mehrdad Yaghoobi, Sangnam Nam, Rémi Gribonval, Mike E. Davies

Proceedings of the 19th European Signal Processing Conference, 2011

Iterative cosparse projection algorithms for the recovery of cosparse vectors.

Raja Giryes, Sangnam Nam, Rémi Gribonval, Mike E. Davies

Proceedings of the 19th European Signal Processing Conference, 2011

Recovery of cosparse signals with Greedy Analysis Pursuit in the presence of noise.

Sangnam Nam, Michael E. Davies, Michael Elad, Rémi Gribonval

Proceedings of the 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2011

Sample-distortion functions for compressed sensing.

Mike E. Davies, Chunli Guo

Proceedings of the 49th Annual Allerton Conference on Communication, 2011

2010

Sparse Representations in Audio and Music: From Coding to Source Separation.

Mark D. Plumbley, Thomas Blumensath, Laurent Daudet, Rémi Gribonval, Mike E. Davies

Proc. IEEE, 2010

Normalized Iterative Hard Thresholding: Guaranteed Stability and Performance.

Thomas Blumensath, Michael E. Davies

IEEE J. Sel. Top. Signal Process., 2010

Structured and incoherent parametric dictionary design.

Mehrdad Yaghoobi, Laurent Daudet, Michael E. Davies

Proceedings of the IEEE International Conference on Acoustics, 2010

Dictionary Learning for Sparse Representations: A Pareto Curve Root Finding Approach.

Mehrdad Yaghoobi, Mike E. Davies

Proceedings of the Latent Variable Analysis and Signal Separation, 2010

2009

Parametric dictionary design for sparse coding.

Mehrdad Yaghoobi, Laurent Daudet, Mike E. Davies

IEEE Trans. Signal Process., 2009

Dictionary learning for sparse approximations with the majorization method.

Mehrdad Yaghoobi, Thomas Blumensath, Mike E. Davies

IEEE Trans. Signal Process., 2009

Stagewise weak gradient pursuits.

Thomas Blumensath, Mike E. Davies

IEEE Trans. Signal Process., 2009

Restricted isometry constants where l^psparse recovery can fail for 0 < p <= 1.

Michael Evan Davies, Rémi Gribonval

IEEE Trans. Inf. Theory, 2009

Sampling Theorems for Signals From the Union of Finite-Dimensional Linear Subspaces.

Thomas Blumensath, Michael E. Davies

IEEE Trans. Inf. Theory, 2009

Parsimonious dictionary learning.

Mehrdad Yaghoobi, Thomas Blumensath, Michael E. Davies

Proceedings of the IEEE International Conference on Acoustics, 2009

A simple, efficient and near optimal algorithm for compressed sensing.

Thomas Blumensath, Mike E. Davies

Proceedings of the IEEE International Conference on Acoustics, 2009

An approach to under-determined speech separation based on a non-linear mixture of beamformers.

Mohammad A. Dmour, Michael E. Davies

Proceedings of the 17th European Signal Processing Conference, 2009

2008

Gradient Pursuits.

Thomas Blumensath, Michael E. Davies

IEEE Trans. Signal Process., 2008

An adaptive stereo basis method for convolutive blind audio source separation.

Maria G. Jafari, Emmanuel Vincent, Samer A. Abdallah, Mark D. Plumbley, Mike E. Davies

Neurocomputing, 2008

Iterative Hard Thresholding for Compressed Sensing

Thomas Blumensath, Mike E. Davies

CoRR, 2008

Approximate lower bounds for rate-distortion in compressive sensing systems.

Bernard Mulgrew, Michael E. Davies

Proceedings of the IEEE International Conference on Acoustics, 2008

Regularized dictionary learning for sparse approximation.

Mehrdad Yaghoobi, Thomas Blumensath, Mike E. Davies

Proceedings of the 2008 16th European Signal Processing Conference, 2008

Under-determined speech separation using GMM-based non-linear beamforming.

Mohammad A. Dmour, Michael E. Davies

Proceedings of the 2008 16th European Signal Processing Conference, 2008

Gradient pursuit for non-linear sparse signal modelling.

Thomas Blumensath, Mike E. Davies

Proceedings of the 2008 16th European Signal Processing Conference, 2008

2007

Monte Carlo Methods for Adaptive Sparse Approximations of Time-Series.

Thomas Blumensath, Michael E. Davies

IEEE Trans. Signal Process., 2007

Audio source separation with a signal-adaptive local cosine transform.

Andrew Nesbit, Mark D. Plumbley, Mike E. Davies

Signal Process., 2007

Source separation using single channel ICA.

Mike E. Davies, Christopher J. James

Signal Process., 2007

Quantized Sparse Approximation with Iterative Thresholding for Audio Coding.

Mehrdad Yaghoobi, Thomas Blumensath, Mike E. Davies

Proceedings of the IEEE International Conference on Acoustics, 2007

Iterative Hard Thresholding and L0 Regularisation.

Thomas Blumensath, Mehrdad Yaghoobi, Mike E. Davies

Proceedings of the IEEE International Conference on Acoustics, 2007

Space-Time ICA and EM Brain Signals.

Mike E. Davies, Christopher J. James, Suogang Wang

Proceedings of the Independent Component Analysis and Signal Separation, 2007

Compressed Sensing and Source Separation.

Thomas Blumensath, Mike E. Davies

Proceedings of the Independent Component Analysis and Signal Separation, 2007

In greedy PURSUIT of new directions: (Nearly) Orthogonal Matching Pursuit by directional optimisation.

Thomas Blumensath, Mike E. Davies

Proceedings of the 15th European Signal Processing Conference, 2007

Blind Source Separation using Space-Time Independent Component Analysis.

Mike E. Davies, Maria G. Jafari, Samer A. Abdallah, Emmanuel Vincent, Mark D. Plumbley

Proceedings of the Blind Speech Separation, 2007

2006

Sparse and shift-Invariant representations of music.

Thomas Blumensath, Mike E. Davies

IEEE Trans. Speech Audio Process., 2006

Sparse representations of polyphonic music.

Mark D. Plumbley, Samer A. Abdallah, Thomas Blumensath, Michael E. Davies

Signal Process., 2006

Sparse audio representations using the MCLT.

Mike E. Davies, Laurent Daudet

Signal Process., 2006

On the analysis of single versus multiple channels of electromagnetic brain signals.

Christopher J. James, Oliver J. Gibson, Mike E. Davies

Artif. Intell. Medicine, 2006

Sparse Coding for Convolutive Blind Audio Source Separation.

Maria G. Jafari, Samer A. Abdallah, Mark D. Plumbley, Mike E. Davies

Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006

A multi-channel maximum likelihood approach to de-reverberation.

Massimiliano Tonelli, Maria G. Jafari, Mike E. Davies

Proceedings of the 14th European Signal Processing Conference, 2006

Source extraction from two-channel mixtures by joint cosine packet analysis.

Andrew Nesbit, Mike E. Davies, Mark D. Plumbley, Mark B. Sandler

Proceedings of the 14th European Signal Processing Conference, 2006

Embedding side information into a speech codec residual.

Nicolas Chetry, Mike E. Davies

Proceedings of the 14th European Signal Processing Conference, 2006

2005

BASS-dB Multitrack recordings.

Emmanuel Vincent, Rémi Gribonval, Cédric Févotte, Andrew Nesbit, Mark D. Plumbley, Mike E. Davies, Laurent Daudet

Dataset, June, 2005

A Tutorial on Onset Detection in Music Signals.

Juan Pablo Bello, Laurent Daudet, Samer A. Abdallah, Chris Duxbury, Mike E. Davies, Mark B. Sandler

IEEE Trans. Speech Audio Process., 2005

A fast importance sampling algorithm for unsupervised learning of over-complete dictionaries.

Thomas Blumensath, Mike E. Davies

Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2004

On the use of phase and energy for musical onset detection in the complex domain.

Juan Pablo Bello, Chris Duxbury, Mike E. Davies, Mark B. Sandler

IEEE Signal Process. Lett., 2004

Unsupervised learning of sparse and shift-invariant decompositions of polyphonic music.

Thomas Blumensath, Mike E. Davies

Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Permutation Alignment for Frequency Domain ICA Using Subspace Beamforming Methods.

Nikolaos Mitianoudis, Michael E. Davies

Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

On Shift-Invariant Sparse Coding.

Thomas Blumensath, Mike E. Davies

Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

An efficient two-stage implementation of harmonic matching pursuit.

Chris Duxbury, Nicolas Chetry, Mark B. Sandler, Mike E. Davies

Proceedings of the 2004 12th European Signal Processing Conference, 2004

Fast sparse subband decomposition using FIRSP.

Mike E. Davies, Laurent Daudet

Proceedings of the 2004 12th European Signal Processing Conference, 2004

2003

Audio source separation of convolutive mixtures.

Nikolaos Mitianoudis, Michael E. Davies

IEEE Trans. Speech Audio Process., 2003

Delay Embeddings for Forced Systems. II. Stochastic Forcing.

Jaroslav Stark, David S. Broomhead, Mike E. Davies, Jeremy P. Huke

J. Nonlinear Sci., 2003

Using beamforming in the audio source separation problem.

Nikolaos Mitianoudis, Michael E. Davies

Proceedings of the Seventh International Symposium on Signal Processing and Its Applications, 2003

2002

Automatic Music Transcription and Audio Source Separation.

Mark D. Plumbley, Samer A. Abdallah, Juan Pablo Bello, Mike E. Davies, Giuliano Monti, Mark B. Sandler

Cybern. Syst., 2002