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ORCIDMike E. Davies 0001
Michael E. Davies 0001 – Michael Evan Davies 0001
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- affiliation: Edinburgh University, Institute of Digital Communications (IDCOM), United Kingdom
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2020 – today
- 2023
[j55]Dongdong Chen
, Mike E. Davies, Matthias J. Ehrhardt, Carola-Bibiane Schönlieb, Ferdia Sherry, Julián Tachella:
Imaging With Equivariant Deep Learning: From unrolled network design to fully unsupervised learning. IEEE Signal Process. Mag. 40(1): 134-147 (2023)- [j54]Mengwei Sun, Mike E. Davies, Ian K. Proudler, James R. Hopgood:
Adaptive Kernel Kalman Filter. IEEE Trans. Signal Process. 71: 713-726 (2023) - 2022
- [j53]Mengwei Sun, Mike E. Davies, Ian K. Proudler, James R. Hopgood:
Adaptive Kernel Kalman Filter Based Belief Propagation Algorithm for Maneuvering Multi-Target Tracking. IEEE Signal Process. Lett. 29: 1452-1456 (2022) - [j52]Abdulmalik Aldharrab, Mike E. Davies:
Staggered Coprime Pulse Repetition Frequencies Synthetic Aperture Radar (SCopSAR). IEEE Trans. Geosci. Remote. Sens. 60: 1-11 (2022) - [j51]Nikolajs Skuratovs, Michael E. Davies:
Compressed Sensing With Upscaled Vector Approximate Message Passing. IEEE Trans. Inf. Theory 68(7): 4818-4836 (2022) - [j50]Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, David I. Laurenson:
Dual Convolutional Neural Networks for Breast Mass Segmentation and Diagnosis in Mammography. IEEE Trans. Medical Imaging 41(1): 3-13 (2022) - [c77]Dongdong Chen, Julián Tachella, Mike E. Davies:
Robust Equivariant Imaging: a fully unsupervised framework for learning to image from noisy and partial measurements. CVPR 2022: 5637-5646 - [c76]Julián Tachella, Michael P. Sheehan, Mike E. Davies:
Sketched RT3D: How to Reconstruct Billions of Photons Per Second. ICASSP 2022: 1566-1570 - [c75]Dongdong Chen, Mike E. Davies, Mohammad Golbabaee:
Deep Unrolling for Magnetic Resonance Fingerprinting. ISBI 2022: 1-4 - [c74]Nikolajs Skuratovs, Mike E. Davies:
Warm-Starting in Message Passing algorithms. ISIT 2022: 1187-1192 - [c73]Sofie Macdonald, Ian K. Proudler, Michael E. Davies, James R. Hopgood:
Performance Evaluation of Simultaneous Sensor Registration and Object Tracking Algorithm. MFI 2022: 1-6 - [i56]Julián Tachella, Dongdong Chen, Mike E. Davies:
Sampling Theorems for Learning from Incomplete Measurements. CoRR abs/2201.12151 (2022) - [i55]Julián Tachella, Michael P. Sheehan, Mike E. Davies:
Sketched RT3D: How to reconstruct billions of photons per second. CoRR abs/2203.00952 (2022) - [i54]Julián Tachella, Dongdong Chen, Mike E. Davies:
Sampling Theorems for Unsupervised Learning in Linear Inverse Problems. CoRR abs/2203.12513 (2022) - [i53]Nikolajs Skuratovs, Mike E. Davies:
Warm-Starting in Message Passing algorithms. CoRR abs/2206.10776 (2022) - [i52]Dongdong Chen, Mike E. Davies, Matthias J. Ehrhardt, Carola-Bibiane Schönlieb, Ferdia Sherry, Julián Tachella:
Imaging with Equivariant Deep Learning. CoRR abs/2209.01725 (2022) - [i51]Mengwei Sun, Mike E. Davies, Ian K. Proudler, James R. Hopgood:
A Gaussian Process Regression based Dynamical Models Learning Algorithm for Target Tracking. CoRR abs/2211.14162 (2022) - 2021
- [j49]Ahmed Karam Eldaly, Ming Fang, Angela Di Fulvio, Steve McLaughlin, Mike E. Davies, Yoann Altmann, Yves Wiaux:
Bayesian Activity Estimation and Uncertainty Quantification of Spent Nuclear Fuel Using Passive Gamma Emission Tomography. J. Imaging 7(10): 212 (2021) - [j48]Mohammad Golbabaee, Guido Buonincontri, Carolin M. Pirkl, Marion I. Menzel, Bjoern H. Menze, Mike E. Davies, Pedro A. Gómez:
Compressive MRI quantification using convex spatiotemporal priors and deep encoder-decoder networks. Medical Image Anal. 69: 101945 (2021) - [j47]Derek Driggs, Junqi Tang, Jingwei Liang, Mike E. Davies, Carola-Bibiane Schönlieb:
A Stochastic Proximal Alternating Minimization for Nonsmooth and Nonconvex Optimization. SIAM J. Imaging Sci. 14(4): 1932-1970 (2021) - [j46]Michael P. Sheehan, Julián Tachella, Mike E. Davies:
A Sketching Framework for Reduced Data Transfer in Photon Counting Lidar. IEEE Trans. Computational Imaging 7: 989-1004 (2021) - [j45]Quentin Legros, Julián Tachella, Rachael Tobin, Aongus McCarthy, Sylvain Meignen, Gerald S. Buller, Yoann Altmann, Steve McLaughlin, Michael E. Davies:
Robust 3D Reconstruction of Dynamic Scenes From Single-Photon Lidar Using Beta-Divergences. IEEE Trans. Image Process. 30: 1716-1727 (2021) - [c72]Julián Tachella, Junqi Tang, Mike E. Davies:
The Neural Tangent Link Between CNN Denoisers and Non-Local Filters. CVPR 2021: 8618-8627 - [c71]Michael P. Sheehan, Julián Tachella, Mike E. Davies:
Surface Detection for Sketched Single Photon Lidar. EUSIPCO 2021: 621-625 - [c70]Mengwei Sun, Michael E. Davies, James R. Hopgood, Ian K. Proudler:
Adaptive Kernel Kalman Filter Multi-Sensor Fusion. FUSION 2021: 1-8 - [c69]Dongdong Chen, Julián Tachella, Mike E. Davies:
Equivariant Imaging: Learning Beyond the Range Space. ICCV 2021: 4359-4368 - [i50]Dongdong Chen, Julián Tachella, Mike E. Davies:
Equivariant Imaging: Learning Beyond the Range Space. CoRR abs/2103.14756 (2021) - [i49]Michael P. Sheehan, Mike E. Davies:
Compressive Independent Component Analysis: Theory and Algorithms. CoRR abs/2110.08045 (2021) - [i48]Dongdong Chen, Julián Tachella, Mike E. Davies:
Robust Equivariant Imaging: a fully unsupervised framework for learning to image from noisy and partial measurements. CoRR abs/2111.12855 (2021) - 2020
- [j44]Alessandro Perelli, Michael A. Lexa, Ali Can, Mike E. Davies:
Compressive Computed Tomography Reconstruction through Denoising Approximate Message Passing. SIAM J. Imaging Sci. 13(4): 1860-1897 (2020) - [j43]Thomas Feuillen, Mike E. Davies, Luc Vandendorpe, Laurent Jacques:
($\ell _1, \ell _2$)-RIP and Projected Back-Projection Reconstruction for Phase-Only Measurements. IEEE Signal Process. Lett. 27: 396-400 (2020) - [j42]Junqi Tang, Karen O. Egiazarian, Mohammad Golbabaee, Mike E. Davies:
The Practicality of Stochastic Optimization in Imaging Inverse Problems. IEEE Trans. Computational Imaging 6: 1471-1485 (2020) - [j41]Yoann Altmann, Steve McLaughlin, Michael E. Davies:
Fast Online 3D Reconstruction of Dynamic Scenes From Individual Single-Photon Detection Events. IEEE Trans. Image Process. 29: 2666-2675 (2020) - [c68]Dongdong Chen, Mike E. Davies:
Deep Decomposition Learning for Inverse Imaging Problems. ECCV (28) 2020: 510-526 - [c67]Konstantinos A. Voulgaris, Mike E. Davies, Mehrdad Yaghoobi:
DeepMP for Non-Negative Sparse Decomposition. EUSIPCO 2020: 2035-2039 - [c66]Dan Yao, Yoann Altmann, Steve McLaughlin, Mike E. Davies:
Joint Robust Linear Regression and Anomaly Detection in Poisson noise using Expectation-Propagation. EUSIPCO 2020: 2463-2467 - [c65]Dongdong Chen, Mike E. Davies, Mohammad Golbabaee:
Compressive MR Fingerprinting Reconstruction with Neural Proximal Gradient Iterations. MICCAI (2) 2020: 13-22 - [i47]Mohammad Golbabaee, Guido Bounincontri, Carolin M. Pirkl, Marion I. Menzel, Bjoern H. Menze, Mike E. Davies, Pedro A. Gómez:
Compressive MRI quantification using convex spatiotemporal priors and deep auto-encoders. CoRR abs/2001.08746 (2020) - [i46]Quentin Legros, Julián Tachella, Rachael Tobin, Aongus McCarthy, Sylvain Meignen, Gerald S. Buller, Yoann Altmann, Stephen McLaughlin, Michael E. Davies:
Robust 3D reconstruction of dynamic scenes from single-photon lidar using Beta-divergences. CoRR abs/2004.09211 (2020) - [i45]Julián Tachella, Junqi Tang, Mike E. Davies:
CNN Denoisers as Non-Local Filters: The Neural Tangent Denoiser. CoRR abs/2006.02379 (2020) - [i44]Junqi Tang, Mike E. Davies:
A Fast Stochastic Plug-and-Play ADMM for Imaging Inverse Problems. CoRR abs/2006.11630 (2020) - [i43]Dongdong Chen, Mike E. Davies, Mohammad Golbabaee:
Compressive MR Fingerprinting reconstruction with Neural Proximal Gradient iterations. CoRR abs/2006.15271 (2020) - [i42]Konstantinos A. Voulgaris, Mike E. Davies, Mehrdad Yaghoobi:
DeepMP for Non-Negative Sparse Decomposition. CoRR abs/2007.14281 (2020) - [i41]Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, David Laurenson:
Dual Convolutional Neural Networks for Breast Mass Segmentation and Diagnosis in Mammography. CoRR abs/2008.02957 (2020) - [i40]Thomas Feuillen, Mike E. Davies, Luc Vandendorpe, Laurent Jacques:
One Bit to Rule Them All : Binarizing the Reconstruction in 1-bit Compressive Sensing. CoRR abs/2008.07264 (2020) - [i39]Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, David Laurenson:
COIN: Contrastive Identifier Network for Breast Mass Diagnosis in Mammography. CoRR abs/2012.14690 (2020)
2010 – 2019
- 2019
- [j40]Di Wu, Mehrdad Yaghoobi, Mike E. Davies:
Sparsity-Driven GMTI Processing Framework With Multichannel SAR. IEEE Trans. Geosci. Remote. Sens. 57(3): 1434-1447 (2019) - [c64]Michael P. Sheehan, Madeleine S. Kotzagiannidis, Mike E. Davies:
Compressive Independent Component Analysis. EUSIPCO 2019: 1-5 - [c63]Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, Dave Laurenson:
A Deep Dual-path Network for Improved Mammogram Image Processing. ICASSP 2019: 1224-1228 - [c62]Tatiana Shpakova, Francis R. Bach, Mike E. Davies:
Hyper-parameter Learning for Sparse Structured Probabilistic Models. ICASSP 2019: 3347-3351 - [c61]Yoann Altmann, Alessandro Perelli, Mike E. Davies:
Expectation-propagation Algorithms for Linear Regression with Poisson Noise: Application to Photon-limited Spectral Unmixing. ICASSP 2019: 5067-5071 - [c60]Junqi Tang, Karen O. Egiazarian, Mike E. Davies:
The Limitation and Practical Acceleration of Stochastic Gradient Algorithms in Inverse Problems. ICASSP 2019: 7680-7684 - [c59]Mohammad Golbabaee, Dongdong Chen, Pedro A. Gómez, Marion I. Menzel, Mike E. Davies:
Geometry of Deep Learning for Magnetic Resonance Fingerprinting. ICASSP 2019: 7825-7829 - [c58]Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, David I. Laurenson:
Signed Laplacian Deep Learning with Adversarial Augmentation for Improved Mammography Diagnosis. MICCAI (6) 2019: 486-494 - [i38]Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, Dave Laurenson:
A Deep DUAL-PATH Network for Improved Mammogram Image Processing. CoRR abs/1903.00001 (2019) - [i37]Konstantinos Pitas, Mike E. Davies, Pierre Vandergheynst:
Revisiting hard thresholding for DNN pruning. CoRR abs/1905.08793 (2019) - [i36]Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, David I. Laurenson:
Signed Laplacian Deep Learning with Adversarial Augmentation for Improved Mammography Diagnosis. CoRR abs/1907.00300 (2019) - [i35]Michael P. Sheehan, Antoine Gonon, Mike E. Davies:
Compressive Learning for Semi-Parametric Models. CoRR abs/1910.10024 (2019) - [i34]Junqi Tang, Karen O. Egiazarian, Mohammad Golbabaee, Mike E. Davies:
The Practicality of Stochastic Optimization in Imaging Inverse Problems. CoRR abs/1910.10100 (2019) - [i33]Dongdong Chen, Mike E. Davies:
Deep Decomposition Learning for Inverse Imaging Problems. CoRR abs/1911.11028 (2019) - [i32]Thomas Feuillen, Mike E. Davies, Luc Vandendorpe, Laurent Jacques:
(l1, l2)-RIP and Projected Back-Projection Reconstruction for Phase-Only Measurements. CoRR abs/1912.02880 (2019) - 2018
- [j39]Gabor Hannak, Alessandro Perelli, Norbert Goertz, Gerald Matz, Mike E. Davies:
Performance Analysis of Approximate Message Passing for Distributed Compressed Sensing. IEEE J. Sel. Top. Signal Process. 12(5): 857-870 (2018) - [j38]Mohammad Golbabaee, Mike E. Davies:
Inexact Gradient Projection and Fast Data Driven Compressed Sensing. IEEE Trans. Inf. Theory 64(10): 6707-6721 (2018) - [c57]Madeleine S. Kotzagiannidis, Mike E. Davies:
Analysis vs Synthesis - An Investigation of (Co)sparse Signal Models on Graphs. GlobalSIP 2018: 698-702 - [c56]Cecile Chenot, Mehrdad Yaghoobi, Mike E. Davies, Yoann Altmann:
Anomaly Detection with High Resolution Hyperspectral Observations. GlobalSIP 2018: 963-967 - [c55]Cagdas Ulas, Giles Tetteh, Michael J. Thrippleton, Paul A. Armitage, Stephen D. Makin, Joanna M. Wardlaw, Mike E. Davies, Bjoern H. Menze:
Direct Estimation of Pharmacokinetic Parameters from DCE-MRI Using Deep CNN with Forward Physical Model Loss. MICCAI (1) 2018: 39-47 - [c54]Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, David Laurenson:
Improved Breast Mass Segmentation in Mammograms with Conditional Residual U-Net. RAMBO+BIA+TIA@MICCAI 2018: 81-89 - [c53]Junqi Tang, Mohammad Golbabaee, Francis R. Bach, Mike E. Davies:
Rest-Katyusha: Exploiting the Solution's Structure via Scheduled Restart Schemes. NeurIPS 2018: 427-438 - [i31]Konstantinos Pitas, Mike E. Davies, Pierre Vandergheynst:
PAC-Bayesian Margin Bounds for Convolutional Neural Networks - Technical Report. CoRR abs/1801.00171 (2018) - [i30]Konstantinos Pitas, Mike E. Davies, Pierre Vandergheynst:
FeTa: A DCA Pruning Algorithm with Generalization Error Guarantees. CoRR abs/1803.04239 (2018) - [i29]Cagdas Ulas, Giles Tetteh, Michael J. Thrippleton, Paul A. Armitage, Stephen D. Makin, Joanna M. Wardlaw, Mike E. Davies, Bjoern H. Menze:
Direct Estimation of Pharmacokinetic Parameters from DCE-MRI using Deep CNN with Forward Physical Model Loss. CoRR abs/1804.02745 (2018) - [i28]Heyi Li, Dongdong Chen, Bill Nailon, Mike E. Davies, Dave Laurenson:
Improved Breast Mass Segmentation in Mammograms with Conditional Residual U-net. CoRR abs/1808.08885 (2018) - [i27]Dongdong Chen, Jiancheng Lv, Mike E. Davies:
Learning Discriminative Representation with Signed Laplacian Restricted Boltzmann Machine. CoRR abs/1808.09389 (2018) - [i26]Mohammad Golbabaee, Dongdong Chen, Pedro A. Gómez, Marion I. Menzel, Mike E. Davies:
A deep learning approach for Magnetic Resonance Fingerprinting. CoRR abs/1809.01749 (2018) - [i25]Mohammad Golbabaee, Zhouye Chen, Yves Wiaux, Mike E. Davies:
CoverBLIP: scalable iterative matched filtering for MR Fingerprint recovery. CoRR abs/1809.02503 (2018) - [i24]Arnold Julian Vinoj Benjamin, Pedro A. Gómez, Mohammad Golbabaee, Tim Sprenger, Marion I. Menzel, Mike E. Davies, Ian Marshall:
Balanced multi-shot EPI for accelerated Cartesian MRF: An alternative to spiral MRF. CoRR abs/1809.02506 (2018) - [i23]Mohammad Golbabaee, Zhouye Chen, Yves Wiaux, Mike E. Davies:
CoverBLIP: accelerated and scalable iterative matched-filtering for Magnetic Resonance Fingerprint reconstruction. CoRR abs/1810.01967 (2018) - [i22]Madeleine S. Kotzagiannidis, Mike E. Davies:
Analysis vs Synthesis - An Investigation of (Co)sparse Signal Models on Graphs. CoRR abs/1811.04460 (2018) - [i21]Madeleine S. Kotzagiannidis, Mike E. Davies:
Analysis vs Synthesis with Structure - An Investigation of Union of Subspace Models on Graphs. CoRR abs/1811.04493 (2018) - 2017
- [j37]Gilles Puy, Mike E. Davies, Rémi Gribonval:
Recipes for Stable Linear Embeddings From Hilbert Spaces to ℝm. IEEE Trans. Inf. Theory 63(4): 2171-2187 (2017) - [c52]Abdulmalik Aldharrab, Mike E. Davies:
Time-data trade-off in the sparse Fourier transform. EUSIPCO 2017: 2116-2120 - [c51]Alessandro Perelli, Mike E. Davies:
Multi denoising approximate message passing for optimal recovery with lower computational cost. EUSIPCO 2017: 2131-2135 - [c50]Junqi Tang, Mohammad Golbabaee, Mike E. Davies:
Exploiting the structure via sketched gradient algorithms. GlobalSIP 2017: 1305-1309 - [c49]Junqi Tang, Mohammad Golbabaee, Mike E. Davies:
Gradient Projection Iterative Sketch for Large-Scale Constrained Least-Squares. ICML 2017: 3377-3386 - [c48]Jonathan H. Mason, William H. Nailon, Mike E. Davies:
A Monte Carlo Framework for Low Dose CT Reconstruction Testing. SASHIMI@MICCAI 2017: 79-88 - [c47]Jonathan H. Mason, Alessandro Perelli, William H. Nailon, Mike E. Davies:
Quantitative Electron Density CT Imaging for Radiotherapy Planning. MIUA 2017: 297-308 - [c46]Jonathan H. Mason, Alessandro Perelli, William H. Nailon, Mike E. Davies:
Can Planning Images Reduce Scatter in Follow-Up Cone-Beam CT? MIUA 2017: 629-640 - [c45]Mohammad Golbabaee, Zhouye Chen, Yves Wiaux, Mike E. Davies:
Cover tree compressed sensing for fast mr fingerprint recovery. MLSP 2017: 1-6 - [i20]Yann Traonmilin, Gilles Puy, Rémi Gribonval, Mike E. Davies:
Compressed sensing in Hilbert spaces. CoRR abs/1702.04917 (2017) - [i19]Mohammad Golbabaee, Mike E. Davies:
Inexact Gradient Projection and Fast Data Driven Compressed Sensing. CoRR abs/1706.00092 (2017) - [i18]Gabor Hannak, Alessandro Perelli, Norbert Goertz, Gerald Matz, Mike E. Davies:
Performance Analysis of Approximate Message Passing for Distributed Compressed Sensing. CoRR abs/1712.04893 (2017) - 2016
- [c44]Ebtihal H. G. Yousif, James R. Hopgood, John S. Thompson, Mike E. Davies:
A new approach for multi-dimensional signal processing and modelling for signals from gel electrophoresis. EUSIPCO 2016: 682-686 - [i17]Alessandro Perelli, Michael A. Lexa, Ali Can, Mike E. Davies:
Denoising Message Passing for X-ray Computed Tomography Reconstruction. CoRR abs/1609.04661 (2016) - 2015
- [j36]Alhussein Fawzi, Mike E. Davies, Pascal Frossard:
Dictionary Learning for Fast Classification Based on Soft-thresholding. Int. J. Comput. Vis. 114(2-3): 306-321 (2015) - [j35]Mehrdad Yaghoobi, Di Wu, Mike E. Davies:
Fast Non-Negative Orthogonal Matching Pursuit. IEEE Signal Process. Lett. 22(9): 1229-1233 (2015) - [j34]Chunli Guo, Mike E. Davies:
Near Optimal Compressed Sensing Without Priors: Parametric SURE Approximate Message Passing. IEEE Trans. Signal Process. 63(8): 2130-2141 (2015) - [c43]Gilles Puy, Mike E. Davies, Rémi Gribonval:
Linear embeddings of low-dimensional subsets of a Hilbert space to Rm. EUSIPCO 2015: 469-473 - [c42]Mehrdad Yaghoobi, Mike E. Davies:
Fast non-negative orthogonal least squares. EUSIPCO 2015: 479-483 - [c41]Alessandro Perelli, Mike E. Davies:
Compressive computed tomography image reconstruction with denoising message passing algorithms. EUSIPCO 2015: 2806-2810 - [i16]Gilles Puy, Mike E. Davies, Rémi Gribonval:
Recipes for stable linear embeddings from Hilbert spaces to $\mathbb{R}^m$. CoRR abs/1509.06947 (2015) - 2014
- [j33]Mike E. Davies, Gilles Puy, Pierre Vandergheynst, Yves Wiaux:
A Compressed Sensing Framework for Magnetic Resonance Fingerprinting. SIAM J. Imaging Sci. 7(4): 2623-2656 (2014) - [j32]Norbert Goertz, Chunli Guo, Alexander Jung, Mike E. Davies, Gerhard Doblinger:
Iterative Recovery of Dense Signals from Incomplete Measurements. IEEE Signal Process. Lett. 21(9): 1059-1063 (2014) - [j31]Shaun Kelly, Mehrdad Yaghoobi, Mike E. Davies:
Sparsity-based autofocus for undersampled synthetic aperture radar. IEEE Trans. Aerosp. Electron. Syst. 50(2): 972-986 (2014) - [j30]Anthony Bourrier, Mike E. Davies, Tomer Peleg, Patrick Pérez, Rémi Gribonval:
Fundamental Performance Limits for Ideal Decoders in High-Dimensional Linear Inverse Problems. IEEE Trans. Inf. Theory 60(12): 7928-7946 (2014) - [j29]Mehrdad Yaghoobi, Laurent Daudet, Michael E. Davies:
Dictionary Subselection Using an Overcomplete Joint Sparsity Model. IEEE Trans. Signal Process. 62(17): 4547-4556 (2014) - [c40]Chunli Guo, Mike E. Davies:
Bayesian optimal compressed sensing without priors: Parametric sure approximate message passing. EUSIPCO 2014: 1347-1351 - [c39]Mehrdad Yaghoobi, Michael A. Lexa, Fabien Millioz, Mike E. Davies:
A low-complexity sub-Nyquist sampling system for wideband Radar ESM receivers. ICASSP 2014: 1788-1792 - [c38]Chunli Guo, Mike E. Davies:
Modulated measurement matrix design for compressed sensing. ICASSP 2014: 2337-2341 - [c37]Mike E. Davies, Gilles Puy, Pierre Vandergheynst, Yves Wiaux:
Compressed quantitative MRI: Bloch response recovery through iterated projection. ICASSP 2014: 6899-6903 - [i15]Alhussein Fawzi, Mike E. Davies, Pascal Frossard:
Dictionary learning for fast classification based on soft-thresholding. CoRR abs/1402.1973 (2014) - [i14]Chunli Guo, Mike E. Davies:
Near optimal compressed sensing without priors: Parametric SURE Approximate Message Passing. CoRR abs/1409.0440 (2014) - [i13]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:
Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14). CoRR abs/1410.0719 (2014) - 2013
- [j28]Mehrdad Yaghoobi, Sangnam Nam, Rémi Gribonval, Mike E. Davies:
Constrained Overcomplete Analysis Operator Learning for Cosparse Signal Modelling. IEEE Trans. Signal Process. 61(9): 2341-2355 (2013) - [j27]Chunli Guo, Mike E. Davies:
Sample Distortion for Compressed Imaging. IEEE Trans. Signal Process. 61(24): 6431-6442 (2013) - [c36]Tomer Peleg, Rémi Gribonval, Mike E. Davies:
Compressed sensing and best approximation from unions of subspaces: Beyond dictionaries. EUSIPCO 2013: 1-5 - [c35]Chunli Guo, Mike E. Davies:
Sample allocation for statistical multiresolution compressed sensing. ICASSP 2013: 5479-5483 - [i12]