論文

• Silvia Gandy, Ben Recht, Isao Yamada. Tensor completion and low-n-rank tensor recovery via convex optimization, Inverse Problems, IOP Science, vol. 27, 19pp, 2011.
• Silvia Gandy, Isao Yamada. Convex Optimization Techniques for the Efficient Recovery of a Sparsely Corrupted Low-rank Matrix, Journal of Math-for-Industry, volume JMI2010B, pp. 147-156, Oct. 2010.  公式リンク  
  

国際会議発表 (査読有り)

• Isao Yamada, Silvia Gandy, Masao Yamagishi. Sparsity-aware adaptive filtering based on a Douglas-Rachford splitting, EUSIPCO 2011, Proceedings of Eusipco 2011, Aug. 2011.
• Silvia Gandy, Isao Yamada. Alternating Minimization Techniques for the Efficient Recovery of a Sparsely Corrupted Low-Rank Matrix, IEEE ICASSP 2010, Mar. 2010.

国内会議発表 (査読なし・不明)

• Silvia Gandy, Isao Yamada. Generalizing the multiple measurement setting from sparse vector recovery to low-rank matrix recovery, IEICE Technical Workshop on Signal Processing, IEICE Technical Report, Jan. 2011.
• Silvia Gandy, Isao Yamada. Douglas-Rachford splitting-type algorithms for Tensor Completion and Principal Component Pursuit, IEICE SIP Symposium 2010, Proceedings of IEICE SIP Symposium 2010, in CD-ROM, Nov. 2010.  公式リンク  
  
• Silvia Gandy, Isao Yamada. Alternating minimization techniques for the recovery of low-rank matrices in the presence of sparse errors, Proceedings of IEICE SIP Symposium 2009, IEICE, in CD-ROM, Nov. 2009.

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