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Volumn , Issue PART 2, 2013, Pages 894-902

Sparse projections onto the simplex

Author keywords

[No Author keywords available]

Indexed keywords

OPTIMIZATION; RELAXATION PROCESSES; TOMOGRAPHY;

EID: 84897545057     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (41)

References (20)
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    • Becker, Stephen, Candès, Emmanuel, and Grant, Michael. Templates for convex cone problems with applications to sparse signal recovery. Mathematical Programming Computation, pp. 1-54, 2011. ISSN 1867-2949. URL http://dx.doi.org/10.1007/s12532-011-0029-5. 10.1007/s12532-011-0029-5.
    • (2011) Mathematical Programming Computation , pp. 1-54
    • Becker, S.1    Candès, E.2    Grant, M.3
  • 5
    • 31744440684 scopus 로고    scopus 로고
    • Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information
    • DOI 10.1109/TIT.2005.862083
    • Candès, E., Romberg, J., and Tao, T. Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information. IEEE Trans. on Information Theory, 52(2):489-509, February 2006. (Pubitemid 43174093)
    • (2006) IEEE Transactions on Information Theory , vol.52 , Issue.2 , pp. 489-509
    • Candes, E.J.1    Romberg, J.2    Tao, T.3
  • 6
    • 67649999044 scopus 로고    scopus 로고
    • A generalized approach to portfolio optimization: Improving performance by constraining portfolio norms
    • DeMiguel, V., Garlappi, L., Nogales, F.J., and Uppal, R. A generalized approach to portfolio optimization: Improving performance by constraining portfolio norms. Management Science, 55(5):798-812, 2009.
    • (2009) Management Science , vol.55 , Issue.5 , pp. 798-812
    • DeMiguel, V.1    Garlappi, L.2    Nogales, F.J.3    Uppal, R.4
  • 7
    • 84867007771 scopus 로고    scopus 로고
    • Quantum tomography via compressed sensing: Error bounds, sample complexity and efficient estimators
    • Flammia, S.T., Gross, D., Liu, Y.K., and Eisert, J. Quantum tomography via compressed sensing: error bounds, sample complexity and efficient estimators. New Journal of Physics, 14(9):095022, 2012. URL http://stacks.iop. org/1367-2630/14/i=9/a=095022.
    • (2012) New Journal of Physics , vol.14 , Issue.9 , pp. 095022
    • Flammia, S.T.1    Gross, D.2    Liu, Y.K.3    Eisert, J.4
  • 9
    • 71149117997 scopus 로고    scopus 로고
    • Gradient descent with sparsification: An iterative algorithm for sparse recovery with restricted isometry property
    • ACM
    • Garg, R. and Khandekar, R. Gradient descent with sparsification: an iterative algorithm for sparse recovery with restricted isometry property. In ICML. ACM, 2009.
    • (2009) ICML
    • Garg, R.1    Khandekar, R.2
  • 10
    • 77957565242 scopus 로고    scopus 로고
    • Quantum state tomography via compressed sensing
    • Oct doi: 10.1103/PhysRevLett.105.150401
    • Gross, D., Liu, Y.-K., Flammia, S. T., Becker, S., and Eisert, J. Quantum state tomography via compressed sensing. Phys. Rev. Lett., 105(15):150401, Oct 2010. doi: 10.1103/PhysRevLett.105.150401.
    • (2010) Phys. Rev. Lett. , vol.105 , Issue.15 , pp. 150401
    • Gross, D.1    Liu, Y.-K.2    Flammia, S.T.3    Becker, S.4    Eisert, J.5
  • 14
    • 85162330856 scopus 로고    scopus 로고
    • Universal low-rank matrix recovery from Pauli measurements
    • Liu, Y.K. Universal low-rank matrix recovery from Pauli measurements. In NIPS, pp. 1638-1646, 2011.
    • (2011) NIPS , pp. 1638-1646
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  • 16
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    • Symmetric gauge functions and unitarily invariant norms
    • Mirsky, L. Symmetric gauge functions and unitarily invariant norms. The quarterly journal of mathematics, 11(1):50-59, 1960.
    • (1960) The Quarterly Journal of Mathematics , vol.11 , Issue.1 , pp. 50-59
    • Mirsky, L.1
  • 18
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    • On estimation of a probability density function and mode
    • Parzen, E. On estimation of a probability density function and mode. The annals of mathematical statistics, 33(3):1065-1076, 1962.
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    • Probing the Pareto frontier for basis pursuit solutions
    • van den Berg, E. and Friedlander, M. P. Probing the Pareto frontier for basis pursuit solutions. SIAM J. Sci. Comput., 31(2):890-912, 2008.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.