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Volumn 57, Issue 1, 2009, Pages 92-106

Multitask compressive sensing

Author keywords

Compressive sensing (CS); Hierarchical Bayesian modeling; Multitask learning; Relevance vector machine (RVM); Simultaneous sparse approximation

Indexed keywords

FOURIER TRANSFORMS; INFERENCE ENGINES; INVERSE PROBLEMS; SIGNAL RECONSTRUCTION; VECTORS; WAVELET TRANSFORMS;

EID: 58649110599     PISSN: 1053587X     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSP.2008.2005866     Document Type: Article
Times cited : (522)

References (51)
  • 3
    • 0030173121 scopus 로고    scopus 로고
    • A new fast and efficient image codec based on set partitioning in hierarchical trees
    • A. Said and W. A. Pearlman, "A new fast and efficient image codec based on set partitioning in hierarchical trees," IEEE Trans. Circuits Syst. Video Technol., vol. 6, pp. 243-250, 1996.
    • (1996) IEEE Trans. Circuits Syst. Video Technol , vol.6 , pp. 243-250
    • Said, A.1    Pearlman, W.A.2
  • 4
    • 9144239988 scopus 로고    scopus 로고
    • Efficient, low-complexity image coding with a set-partitioning embedded block coder
    • Nov
    • W. A. Pearlman, A. Islam, N. Nagaraj, and A. Said, "Efficient, low-complexity image coding with a set-partitioning embedded block coder," IEEE Trans. Circuits Syst. Video Technol., vol. 14, pp. 1219-1235, Nov. 2004.
    • (2004) IEEE Trans. Circuits Syst. Video Technol , vol.14 , pp. 1219-1235
    • Pearlman, W.A.1    Islam, A.2    Nagaraj, N.3    Said, A.4
  • 5
    • 31744440684 scopus 로고    scopus 로고
    • Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information
    • Feb
    • E. Candès, J. Romberg, and T. Tao, "Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information," IEEE Trans. Inf. Theory, vol. 52, no. 2, pp. 489-509, Feb. 2006.
    • (2006) IEEE Trans. Inf. Theory , vol.52 , Issue.2 , pp. 489-509
    • Candès, E.1    Romberg, J.2    Tao, T.3
  • 6
    • 33645712892 scopus 로고    scopus 로고
    • Compressed sensing
    • Apr
    • D. L. Donoho, "Compressed sensing," IEEE Trans. Inf. Theory, vol. 52, no. 4, pp. 1289-1306, Apr. 2006.
    • (2006) IEEE Trans. Inf. Theory , vol.52 , Issue.4 , pp. 1289-1306
    • Donoho, D.L.1
  • 7
  • 8
    • 64649083745 scopus 로고    scopus 로고
    • Signal recovery from random measurements via orthogonal matching pursuit
    • Preprint
    • J. A. Tropp and A. C. Gilbert, "Signal recovery from random measurements via orthogonal matching pursuit," IEEE Trans. Inf. Theory, 2007, Preprint.
    • (2007) IEEE Trans. Inf. Theory
    • Tropp, J.A.1    Gilbert, A.C.2
  • 9
    • 34547970687 scopus 로고    scopus 로고
    • Sparse Solution of Underdetermined Linear Equations by Stagewise Orthogonal Matching Pursuit Mar
    • Preprint
    • D. L. Donoho, Y. Tsaig, I. Drori, and J.-C. Starck, Sparse Solution of Underdetermined Linear Equations by Stagewise Orthogonal Matching Pursuit Mar. 2006, Preprint.
    • (2006)
    • Donoho, D.L.1    Tsaig, Y.2    Drori, I.3    Starck, J.-C.4
  • 11
    • 39049141356 scopus 로고    scopus 로고
    • Gradient Projection for Sparse Reconstruction: Application to Compressed Sensing and Other
    • Preprint
    • M. Figueiredo, R. D. Nowak, and S. J. Wright, Gradient Projection for Sparse Reconstruction: Application to Compressed Sensing and Other Inverse Problems 2007, Preprint.
    • (2007) Inverse Problems
    • Figueiredo, M.1    Nowak, R.D.2    Wright, S.J.3
  • 12
    • 58649118507 scopus 로고    scopus 로고
    • Simultaneous Approximation by Greedy Algorithms Univ. South Carolina, Dept. Math., Columbia
    • Tech. Rep
    • D. Leviatan and V. N. Temlyakov, Simultaneous Approximation by Greedy Algorithms Univ. South Carolina, Dept. Math., Columbia, 2003, Tech. Rep..
    • (2003)
    • Leviatan, D.1    Temlyakov, V.N.2
  • 13
    • 23844477225 scopus 로고    scopus 로고
    • Sparse solutions to linear inverse problems with multiple measurement vectors
    • Jul
    • S. F. Cotter, B. D. Rao, K. Engan, and K. Kreutz-Delgado, "Sparse solutions to linear inverse problems with multiple measurement vectors," IEEE Trans. Signal Process., vol. 53, no. 7, pp. 2477-2488, Jul. 2005.
    • (2005) IEEE Trans. Signal Process , vol.53 , Issue.7 , pp. 2477-2488
    • Cotter, S.F.1    Rao, B.D.2    Engan, K.3    Kreutz-Delgado, K.4
  • 14
    • 30844445842 scopus 로고    scopus 로고
    • Algorithms for simultaneous sparse approximation. Part I: Greedy pursuit
    • Apr
    • J. A. Tropp, A. C. Gilbert, and M. J. Strauss, "Algorithms for simultaneous sparse approximation. Part I: Greedy pursuit," Signal Process., vol. 86, pp. 572-588, Apr. 2006.
    • (2006) Signal Process , vol.86 , pp. 572-588
    • Tropp, J.A.1    Gilbert, A.C.2    Strauss, M.J.3
  • 15
    • 30844461481 scopus 로고    scopus 로고
    • Algorithms for simultaneous sparse approximation. Part II: Convex relaxation
    • Apr
    • J. A. Tropp, "Algorithms for simultaneous sparse approximation. Part II: Convex relaxation," Signal Process., vol. 86, pp. 589-602, Apr. 2006.
    • (2006) Signal Process , vol.86 , pp. 589-602
    • Tropp, J.A.1
  • 16
    • 33947134817 scopus 로고    scopus 로고
    • On the use of a priori information for sparse signal approximations
    • Sep
    • Ò. D. Escoda, L. Granai, and P. Vandergheynst, "On the use of a priori information for sparse signal approximations," IEEE Trans. Signal Process., vol. 54, no. 9, pp. 3468-3482, Sep. 2006.
    • (2006) IEEE Trans. Signal Process , vol.54 , Issue.9 , pp. 3468-3482
    • Escoda, O.D.1    Granai, L.2    Vandergheynst, P.3
  • 17
    • 34347400802 scopus 로고    scopus 로고
    • An empirical Bayesian strategy for solving the simultaneous sparse approximation problem
    • Jul
    • D. P. Wipf and B. D. Rao, "An empirical Bayesian strategy for solving the simultaneous sparse approximation problem," IEEE Trans. Signal Process., vol. 55, no. 7, pp. 3704-3716, Jul. 2007.
    • (2007) IEEE Trans. Signal Process , vol.55 , Issue.7 , pp. 3704-3716
    • Wipf, D.P.1    Rao, B.D.2
  • 19
    • 0001224048 scopus 로고    scopus 로고
    • Sparse Bayesian learning and the relevance vector machine
    • M. E. Tipping, "Sparse Bayesian learning and the relevance vector machine," J. Mach. Learn. Res., vol. 1, pp. 211-244, 2001.
    • (2001) J. Mach. Learn. Res , vol.1 , pp. 211-244
    • Tipping, M.E.1
  • 21
    • 85194972808 scopus 로고    scopus 로고
    • Regression shrinkage and selection via the lasso
    • R. Tibshirani, "Regression shrinkage and selection via the lasso," J. Royal. Statist. Soc. B., vol. 58, no. 1, pp. 267-288, 1996.
    • (1996) J. Royal. Statist. Soc. B , vol.58 , Issue.1 , pp. 267-288
    • Tibshirani, R.1
  • 23
    • 0031189914 scopus 로고    scopus 로고
    • Multitask learning
    • R. Caruana, "Multitask learning," Mach. Learn., vol. 28, no. 1, pp. 41-75, 1997.
    • (1997) Mach. Learn , vol.28 , Issue.1 , pp. 41-75
    • Caruana, R.1
  • 25
    • 14344277592 scopus 로고    scopus 로고
    • A model of inductive bias learning
    • J. Baxter, "A model of inductive bias learning," J. Artif. Intell. Res., 2000.
    • (2000) J. Artif. Intell. Res
    • Baxter, J.1
  • 28
    • 79951845184 scopus 로고    scopus 로고
    • Learning multiple related tasks using latent independent component analysis
    • J. Zhang, Z. Ghahramani, and Y. Yang, "Learning multiple related tasks using latent independent component analysis," in Proc. Adv. Neural Inf. Process. Syst., 2005, vol. 18.
    • (2005) Proc. Adv. Neural Inf. Process. Syst , vol.18
    • Zhang, J.1    Ghahramani, Z.2    Yang, Y.3
  • 29
    • 27844439373 scopus 로고    scopus 로고
    • A framework for learning predictive structures from multiple tasks and unlabeled data
    • R. K. Ando and T. Zhang, "A framework for learning predictive structures from multiple tasks and unlabeled data," J. Mach. Learn. Res., vol. 6, pp. 1817-1853, 2005.
    • (2005) J. Mach. Learn. Res , vol.6 , pp. 1817-1853
    • Ando, R.K.1    Zhang, T.2
  • 30
    • 21844456299 scopus 로고    scopus 로고
    • Learning multiple tasks with kernel methods
    • T. Evgeniou, C. A. Micchelli, and M. Pontil, "Learning multiple tasks with kernel methods," J. Mach. Learn. Res., vol. 6, pp. 615-637, 2005.
    • (2005) J. Mach. Learn. Res , vol.6 , pp. 615-637
    • Evgeniou, T.1    Micchelli, C.A.2    Pontil, M.3
  • 31
    • 14944369641 scopus 로고    scopus 로고
    • A Bayesian semiparametric model for random-effects meta-analysis
    • Mar
    • D. Burr and H. Doss, "A Bayesian semiparametric model for random-effects meta-analysis," J. Amer. Statist. Assoc., vol. 100, no. 469, pp. 242-251, Mar. 2005.
    • (2005) J. Amer. Statist. Assoc , vol.100 , Issue.469 , pp. 242-251
    • Burr, D.1    Doss, H.2
  • 33
    • 33846541309 scopus 로고    scopus 로고
    • Nonparametric modeling of hierarchically exchangeable data Univ. Wash. Statist. Dep
    • Tech. Rep. 421
    • P. D. Hoff, Nonparametric modeling of hierarchically exchangeable data Univ. Wash. Statist. Dep., Tech. Rep. 421, 2003.
    • (2003)
    • Hoff, P.D.1
  • 34
    • 3543010206 scopus 로고    scopus 로고
    • A method for combining inference across related nonparametric Bayesian models
    • P. Müller, F. Quintana, and G. Rosner, "A method for combining inference across related nonparametric Bayesian models," J. Royal Statist. Soc. Ser. B, vol. 66, no. 3, pp. 735-749, 2004.
    • (2004) J. Royal Statist. Soc. Ser. B , vol.66 , Issue.3 , pp. 735-749
    • Müller, P.1    Quintana, F.2    Rosner, G.3
  • 35
    • 0011381769 scopus 로고    scopus 로고
    • Combining information from several experiments with nonparametric priors
    • B. K. Mallick and S. G. Walker, "Combining information from several experiments with nonparametric priors," Biometrika, vol. 84, no. 3, pp. 697-706, 1997.
    • (1997) Biometrika , vol.84 , Issue.3 , pp. 697-706
    • Mallick, B.K.1    Walker, S.G.2
  • 37
    • 70449513935 scopus 로고    scopus 로고
    • Comparing the effects of different weight distributions on finding sparse representations
    • D. P. Wipf and B. D. Rao, "Comparing the effects of different weight distributions on finding sparse representations," in Proc. Adv. Neural Inf. Process. Syst., 2006, vol. 18.
    • (2006) Proc. Adv. Neural Inf. Process. Syst , vol.18
    • Wipf, D.P.1    Rao, B.D.2
  • 40
    • 0001025418 scopus 로고
    • Bayesian interpolation
    • D. J. C. MacKay, "Bayesian interpolation," Neural Comput., vol. 4, no. 3, pp. 415-447, 1992.
    • (1992) Neural Comput , vol.4 , Issue.3 , pp. 415-447
    • MacKay, D.J.C.1
  • 41
    • 0001025418 scopus 로고
    • Bayesian interpolation
    • D. MacKay, "Bayesian interpolation," Neural Comput., vol. 4, no. 3, pp. 415-447, 1992.
    • (1992) Neural Comput , vol.4 , Issue.3 , pp. 415-447
    • MacKay, D.1
  • 42
    • 3543103176 scopus 로고    scopus 로고
    • Sparse Bayesian learning for basis selection
    • Aug
    • D. Wipf and B. Rao, "Sparse Bayesian learning for basis selection," IEEE Trans. Signal Process., vol. 52, no. 8, pp. 2153-2164, Aug. 2004.
    • (2004) IEEE Trans. Signal Process , vol.52 , Issue.8 , pp. 2153-2164
    • Wipf, D.1    Rao, B.2
  • 43
    • 1342297847 scopus 로고    scopus 로고
    • Fast marginal likelihood maximisation for sparse Bayesian models
    • C. M. Bishop and B. J. Frey, Eds
    • M. E. Tipping and A. C. Faul, "Fast marginal likelihood maximisation for sparse Bayesian models," in Proc. 9th Int. Workshop on AIStats C. M. Bishop and B. J. Frey, Eds., 2003.
    • (2003) Proc. 9th Int. Workshop on AIStats
    • Tipping, M.E.1    Faul, A.C.2
  • 44
    • 34547499089 scopus 로고    scopus 로고
    • Empirical Bayes density regression
    • D. B. Dunson, "Empirical Bayes density regression," Statistica Sinica, vol. 17, pp. 481-504, 2007.
    • (2007) Statistica Sinica , vol.17 , pp. 481-504
    • Dunson, D.B.1
  • 45
    • 15844362098 scopus 로고    scopus 로고
    • Robust Bayesian mixture modelling
    • M. Svensén and C. M. Bishop, "Robust Bayesian mixture modelling," Neurocomput., vol. 64, pp. 235-252, 2004.
    • (2004) Neurocomput , vol.64 , pp. 235-252
    • Svensén, M.1    Bishop, C.M.2
  • 48
    • 30844433547 scopus 로고    scopus 로고
    • Extensions of compressed sensing
    • Mar
    • Y. Tsaig and D. L. Donoho, "Extensions of compressed sensing," Signal Process., vol. 86, no. 3, pp. 549-571, Mar. 2006.
    • (2006) Signal Process , vol.86 , Issue.3 , pp. 549-571
    • Tsaig, Y.1    Donoho, D.L.2
  • 49
    • 33747727601 scopus 로고    scopus 로고
    • Wavelet-based statistical signal processing using hidden markov models
    • April
    • M. Crouse, R. Nowak, and R. Baraniuk, "Wavelet-based statistical signal processing using hidden markov models," IEEE Trans. Signal Process. vol. 46, no. 4, pp. 886-902, April 1998.
    • (1998) IEEE Trans. Signal Process , vol.46 , Issue.4 , pp. 886-902
    • Crouse, M.1    Nowak, R.2    Baraniuk, R.3
  • 50
    • 0001120413 scopus 로고
    • A Bayesian analysis of some nonparametric problems
    • T. S. Ferguson, "A Bayesian analysis of some nonparametric problems," Ann. Statist., vol. 1, no. 2, pp. 209-230, 1973.
    • (1973) Ann. Statist , vol.1 , Issue.2 , pp. 209-230
    • Ferguson, T.S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.