The relevance vector machine for seismic Bayesian compressive sensing
暂无分享,去创建一个
[1] Mauricio D. Sacchi,et al. Interpolation and denoising of high-dimensional seismic data by learning a tight frame , 2015 .
[2] Carl E. Rasmussen,et al. Healing the relevance vector machine through augmentation , 2005, ICML.
[3] Yang Liu,et al. Seislet transform and seislet frame , 2010 .
[4] Michael E. Tipping. Sparse Bayesian Learning and the Relevance Vector Machine , 2001, J. Mach. Learn. Res..
[5] Hassan Mansour,et al. Efficient matrix completion for seismic data reconstruction , 2015 .
[6] A. C. Faul,et al. Bayesian Feature Learning for Seismic Compressive Sensing and Denoising , 2017 .
[7] Georgios Pilikos,et al. Beta Process Factor Analysis for efficient seismic Compressive Sensing with uncertainty quantification , 2018, 2018 IEEE 23rd International Conference on Digital Signal Processing (DSP).
[8] Mauricio D. Sacchi,et al. Surface-Consistent Sparse Multichannel Blind Deconvolution of Seismic Signals , 2016, IEEE Transactions on Geoscience and Remote Sensing.
[9] Mauricio D. Sacchi,et al. Fourier Reconstruction of Nonuniformly Sampled, Aliased Seismic Data , 2022 .
[10] Yangkang Chen,et al. Data-driven multitask sparse dictionary learning for noise attenuation of 3D seismic data , 2017 .
[11] Yangkang Chen,et al. Hybrid rank-sparsity constraint model for simultaneous reconstruction and denoising of 3D seismic data , 2017 .
[12] Yangkang Chen,et al. Dealiased Seismic Data Interpolation Using Seislet Transform With Low-Frequency Constraint , 2015, IEEE Geoscience and Remote Sensing Letters.
[13] Georgios Pilikos,et al. Seismic compressive sensing beyond aliasing using Bayesian feature learning , 2017 .
[14] D. J. Verschuur,et al. Restoration of missing offsets by parabolic Radon transform1 , 1995 .
[15] M. Sacchi,et al. Simultaneous seismic data denoising and reconstruction via multichannel singular spectrum analysis , 2011 .
[16] Necati Gulunay,et al. Seismic trace interpolation in the Fourier transform domain , 2003 .
[17] Michael E. Tipping,et al. Fast Marginal Likelihood Maximisation for Sparse Bayesian Models , 2003 .
[18] Jianwei Ma,et al. What can machine learning do for seismic data processing? An interpolation application , 2017 .
[19] Lynn Burroughs,et al. Rank-Reduction-Based Trace Interpolation , 2010 .
[20] Stanley Osher,et al. Monte Carlo data-driven tight frame for seismic data recovery , 2016 .
[21] Mauricio D. Sacchi,et al. Interpolation and extrapolation using a high-resolution discrete Fourier transform , 1998, IEEE Trans. Signal Process..
[22] David B. Dunson,et al. Nonparametric Bayesian Dictionary Learning for Analysis of Noisy and Incomplete Images , 2012, IEEE Transactions on Image Processing.
[23] D. J. Verschuur,et al. The utilization of the double focal transformation for sparse data representation and data reconstruction , 2016 .
[24] Sergey Fomel,et al. OC-seislet: Seislet transform construction with differential offset continuation , 2010 .
[25] Marc Teboulle,et al. A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems , 2009, SIAM J. Imaging Sci..
[26] Michael P. Friedlander,et al. Probing the Pareto Frontier for Basis Pursuit Solutions , 2008, SIAM J. Sci. Comput..
[27] Jianwei Ma,et al. Intelligent interpolation by Monte Carlo machine learning , 2018 .
[28] Felix J. Herrmann,et al. Application of randomized sampling schemes to curvelet-based sparsity-promoting seismic data recovery , 2013 .
[29] R. Abma,et al. 3D interpolation of irregular data with a POCS algorithm , 2006 .
[30] A. C. Faul,et al. Relevance Vector Machines with Uncertainty Measure for Seismic Bayesian Compressive Sensing and Survey Design , 2016, 2016 15th IEEE International Conference on Machine Learning and Applications (ICMLA).
[31] Mostafa Naghizadeh,et al. Seismic data interpolation and denoising in the frequency-wavenumber domain , 2012 .
[32] Y. Chen,et al. Compressive sensing for seismic data reconstruction via fast projection onto convex sets based on seislet transform , 2016 .
[33] James H. McClellan,et al. Seismic data denoising through multiscale and sparsity-promoting dictionary learning , 2015 .
[34] A. Stanton,et al. Mitigating Artifacts in Projection Onto Convex Sets Interpolation , 2015 .
[35] Lawrence Carin,et al. Nonparametric factor analysis with beta process priors , 2009, ICML '09.
[36] Zhenming Peng,et al. Seismic random noise attenuation using shearlet and total generalized variation , 2015 .
[37] A. Duijndam. BAYESIAN ESTIMATION IN SEISMIC INVERSION. PART I: PRINCIPLES1 , 1988 .
[38] Mauricio D. Sacchi,et al. A fast reduced-rank interpolation method for prestack seismic volumes that depend on four spatial dimensions , 2013 .
[39] Nadia Kreimer,et al. A Comparison of 5D Reconstruction Methods , 2012 .
[40] Yu Zhang,et al. Antileakage Fourier transform for seismic data regularization , 2005 .
[41] Nadia Kreimer,et al. A tensor higher-order singular value decomposition for prestack seismic data noise reduction and interpolation , 2012 .
[42] A. Duijndam. BAYESIAN ESTIMATION IN SEISMIC INVERSION. PART II: UNCERTAINTY ANALYSIS1 , 1988 .
[43] Lawrence Carin,et al. Bayesian Compressive Sensing , 2008, IEEE Transactions on Signal Processing.
[44] F. Herrmann,et al. Simply denoise: Wavefield reconstruction via jittered undersampling , 2008 .
[45] Mauricio D. Sacchi,et al. High-resolution prestack seismic inversion using a hybrid FISTA least-squares strategy , 2013 .
[46] Michael Elad,et al. Image Denoising Via Sparse and Redundant Representations Over Learned Dictionaries , 2006, IEEE Transactions on Image Processing.
[47] Mauricio D. Sacchi,et al. Beyond alias hierarchical scale curvelet interpolation of regularly and irregularly sampled seismic data , 2010 .
[48] Mauricio D. Sacchi,et al. On sampling functions and Fourier reconstruction methods , 2010 .
[49] Weilin Huang,et al. Damped rank-reduction method for simultaneous denoising and reconstruction of 5D seismic data , 2016 .
[50] Tadeusz J. Ulrych,et al. A Bayes tour of inversion: A tutorial , 2001 .
[51] Jianwei Ma,et al. Seismic data restoration via data-driven tight frame , 2014 .
[52] Mauricio D. Sacchi,et al. Minimum weighted norm interpolation of seismic records , 2004 .
[53] M. Oristaglio. SEAM Phase II—Land Seismic Challenges , 2012 .
[54] Jianwei Ma,et al. Simultaneous dictionary learning and denoising for seismic data , 2014 .
[55] Mauricio D. Sacchi,et al. Accurate interpolation with high-resolution time-variant Radon transforms , 2002 .
[56] Mauricio D. Sacchi,et al. Multistep autoregressive reconstruction of seismic records , 2007 .
[57] Felix J. Herrmann,et al. Non-parametric seismic data recovery with curvelet frames , 2008 .
[58] Georgios Pilikos,et al. Bayesian modeling for uncertainty quantification in seismic compressive sensing , 2019 .
[59] Yanfei Wang,et al. Accelerating seismic interpolation with a gradient projection method based on tight frame property of curvelet , 2015 .
[60] Dirk Gajewski,et al. 5-D interpolation with wave-front attributes , 2017 .
[61] Mauricio D. Sacchi,et al. Sparse multichannel blind deconvolution , 2014 .
[62] Walter Söllner,et al. Dictionary learning for signal-to-noise ratio enhancement , 2015 .