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빅데이터 분석을 위한 Rank-Sparsity 기반 신호처리기법  

Lee, Hyeok (서울대학교)
Lee, Hyeong-Il (서울대학교)
Jo, Jae-Hak (서울대학교)
Kim, Min-Cheol (서울대학교)
So, Byeong-Hyeon (서울대학교)
Lee, Jeong-U (서울대학교)
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Information and Communications Magazine / v.31, no.11, 2014 , pp. 35-45 More about this Journal
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1 M. Wootters, Y. Plan, M.A. Davenport and E. van den Berg, "Lower bounds for quantized matrix completion," Information Theory Proceedings (ISIT), 2013 IEEE International Symposium on.
2 A.Waters, A. Sankaranarayanan and R. Baraniuk, "SpaRCS: Recovering Low-Rank and Sparse Matrices from Compressive Measurements," Proceedings of the Neural Infromation Processing Systems (NIPS), 2011.
3 M. Grant and S. Boyd, "CVX: Matlab software for disciplined convex programming." http://stanford. edu/-boyd/cvx, 2009
4 J. Cai, E. J. Candes and Z. Shen, "A Singular Value Thresholding Algorithm for Matrix Completion, SIAM, J. Optim., 20(4), 1956-1982, 2010.   DOI
5 Z. Lin, A. Ganesh, J. Wright, L. Wu, M. Chen, and Y. Ma, "Fast convex optimization algorithms for exact recovery of a corrupted low-rank matrix," In Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2009.
6 A. Beck and M. Teboulle, "A fast iterative shrinkage-thresholding algorithm for linear inverse problems,"SIAM Journal on Imaging Sciences, 2(1):183-202, Mar 2009.   DOI
7 X. Yuan and J. Yang, "Sparse and low-rank matrix decomposition via alternating direction method," Pacific J. Optim., vol.9, no.1, pp 167-180, 2013.
8 이형일, 이혁, 이정우, "부공간에의 사영에 기반한 RPCA 기법의 온라인 업데이트 기법", 한국통신학회 추계종합학술발표회, 2014
9 E. J. Candes, X. Li, Y. Ma, and J. Wright, "Robust Principal Component Analysis?," Journal of ACM 58(1), 1-37.
10 V. Chandrasekaran, S. Sanghavi, P.A. Parrilo and A.S. Willsky, "Rank-Sparsity Incoherence for Matrix Decomposition," SIAM J. Optim., 21(2), 572-596, 2011.   DOI
11 L.Breiman, "Random Forests,"Technical report, Department of Statistics, University of California, 2001.
12 R. Gnanadesikan and J. Kettenring, "Robust estimates, residuals, and outlier detection with multiresponse data," Biometrics, 28:81-124, 1972.   DOI
13 J.E. Jackson. "A User's Guide to Principal Components," New York: John Wiley and Sons, 1991.
14 I.T.Jolliffe, "Principal Component Analysis," Springer-Verlag, 1986.
15 P. Huber, "Robust Statistics," Wiley and Sons, 1981
16 Q. Ke and T. Kanade, "Robust l1-norm factorization in the presence of outliers and missing data,"In Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition, 2005.
17 M. Fischler and R. Bolles, "Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography," Communications of the ACM, 24:381-385, 1981.   DOI
18 F. De La Torre and M. Black, "A framework for robust subspace learning," International Journal on Computer Vision, 54:117-142, 2003.   DOI
19 H. Jiang, W. Deng, and Z. Shen, "Surveillance Video Processing Using Compressive Sensing," Inverse Problems and Imaging, Volume 6, No. 2, 201-214, 2012.   DOI
20 Z. Zhang, A. Ganesh, X. Liang and Y. ma, "TILT: Transform Invariant Low-Rank Textures," International Journal of Computer Vision, 99(1), 1-24, 2012.   DOI
21 A. Ganesh, K. Min, J. Wright and Y. Ma, "Principal Component Pursuit with reduced linear measurements,"Information Theory Proceedings (ISIT), 2012 IEEE International Symposium on.
22 E. J. Candes and B. Recht, "Exact Matrix Completion via Convex Optimization," Foundations of Computational Mathematics, 9(6), 717-772, 2009.   DOI
23 E. J. Candes and Y. Plan, "Matrix Completion with Noise," Proceedings of IEEE, 98(6), 925-936, 2010.   DOI
24 R. H. Keshavan, A. Montanari and S. Oh, "Matrix Completion From a Few Entries," IEEE Transactions on Information Theory, 56(6), 2980-2998, 2010.   DOI