Rank Minimization via Alternating Optimization - Seismic Data Interpolation

References

1. Aleksandr Y.Aravkin, RajivKumar, HassanMansour, BenRecht, and Felix J.Herrmann
   [2014] Fast methods for denoising matrix completion formulations, with applications to robust seismic data interpolation. SIAM Journal on Scientific Computing, 36, S237–S266.
   [Google Scholar]
2. BenjaminRecht, MaryamFazel, and Pable A.Parrilo
   [2010] Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization. SIAM Review, 52, 471–501.
   [Google Scholar]
3. Emmanuel J.Candès, and BenjaminRecht
   [2009] Exact Matrix Completion via Convex Optimization. Foundations of Computational Mathematics, 9, 717–772.
   [Google Scholar]
4. Emmanuel J.Candès, and YanivPlan
   [2009] Matrix Completion With Noise. Proceedings of the IEEE, 98, 925–936.
   [Google Scholar]
5. Ewoutvan den Berg and Michael P.Friedlander
   [2008] Probing the pareto frontier for basis pursuit solutions. SIAM Journal on Scientific Computing, 31(2), 890–912.
   [Google Scholar]
6. Felix J.Herrmann and GillesHennenfent
   [2008] Non-parametric seismic data recovery with curvelet frames. Geophysical Journal International, 173, 233–248.
   [Google Scholar]
7. HassanMansour, Felix J.Herrmann, and OzgurYilmaz
   [2013] Improved wavefield reconstruction from randomized sampling via weighted one-norm minimization. Geophysics, 78, V193–V206.
   [Google Scholar]
8. Jian-FengCai, Emmanuel J.Candès, and ZuoweiShen
   [2010] A Singular Value Thresholding Algorithm for Matrix Completion. SIAM Journal on Optimization, 20, 1956–1982.
   [Google Scholar]
9. MaryamFazel
   [2002] Matrix rank minimization with applications. Electrical Engineering Department Stanford University, 54, 1–130.
   [Google Scholar]
10. NathanSrebro
    [2004], Learning with Matrix Factorizations. PhD Thesis, Massachusetts Institute of Technology.
    [Google Scholar]
11. PrateekJain, PraneethNetrapalli, and SujaySanghavi
    [2013] Low-rank matrix completion using alternating minimization. STOC ’13 Proceedings of the forty-fifth annual ACM symposium on Theory of computing, 665–674.
    [Google Scholar]
12. PrateekJain, RaghuMeka, and Inderjit S.Dhillon
    [2010] Guaranteed Rank Minimization via Singular Value Projection. Advances in Neural Information Processing Systems, 23, 937–945.
    [Google Scholar]
13. RajivKumar, Aleksandr Y.Aravkin, ErnieEsser, HassanMansour, and Felix J.Herrmann
    [2014] SVD-free low-rank matrix factorization: wavefield reconstruction via jittered subsampling and reciprocity. EAGE.
    [Google Scholar]
14. YangyangXu and WotaoYin
    [2013] A block coordinate descent method for regularized multi-convex optimization with applications to nonnegative tensor factorization and completion. SIAM Journal on imaging sciences, 6(3), 1758–1789.
    [Google Scholar]
15. YiYang, JianweiMa, and StanleyOsher
    [2012] Seismic data reconstruction via matrix completion. UCLA CAM Report, 12–14.
    [Google Scholar]