메뉴 건너뛰기




Volumn , Issue , 2009, Pages 772-780

Multi-label prediction via compressed sensing

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATION THEORY; FORECASTING; MATHEMATICAL TRANSFORMATIONS; VECTOR SPACES;

EID: 77956528679     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (377)

References (28)
  • 1
    • 33645712892 scopus 로고    scopus 로고
    • Compressed sensing
    • David Donoho. Compressed sensing. IEEE Trans. Info. Theory, 52(4):1289-1306, 2006.
    • (2006) IEEE Trans. Info. Theory , vol.52 , Issue.4 , pp. 1289-1306
    • Donoho, D.1
  • 2
    • 0000406788 scopus 로고
    • Solving multiclass learning problems via error-correcting output codes
    • T. Dietterich and G. Bakiri. Solving multiclass learning problems via error-correcting output codes. Journal of Artificial Intelligence Research, 2:263-286, 1995.
    • (1995) Journal of Artificial Intelligence Research , vol.2 , pp. 263-286
    • Dietterich, T.1    Bakiri, G.2
  • 4
    • 3042597440 scopus 로고    scopus 로고
    • Learning multi-label scene classification
    • M. Boutell, J. Luo, X. Shen, and C. Brown. Learning multi-label scene classification. Pattern Recognition, 37(9):1757-1771, 2004.
    • (2004) Pattern Recognition , vol.37 , Issue.9 , pp. 1757-1771
    • Boutell, M.1    Luo, J.2    Shen, X.3    Brown, C.4
  • 8
    • 14344250451 scopus 로고    scopus 로고
    • Support vector machine learning for interdependent and structured output spaces
    • I. Tsochantaridis, T. Hofmann, T. Joachims, and Y. Altun. Support vector machine learning for interdependent and structured output spaces. In ICML, 2004.
    • (2004) ICML
    • Tsochantaridis, I.1    Hofmann, T.2    Joachims, T.3    Altun, Y.4
  • 10
    • 71149112556 scopus 로고    scopus 로고
    • Learning with structured sparsity
    • J. Huang, T. Zhang, and D. Metaxax. Learning with structured sparsity. In ICML, 2009.
    • (2009) ICML
    • Huang, J.1    Zhang, T.2    Metaxax, D.3
  • 12
    • 24044435942 scopus 로고    scopus 로고
    • Reducing multiclass to binary: A unifying approach for margin classifiers
    • Erin Allwein, Robert Schapire, and Yoram Singer. Reducing multiclass to binary: A unifying approach for margin classifiers. Journal of Machine Learning Research, 1:113-141, 2000.
    • (2000) Journal of Machine Learning Research , vol.1 , pp. 113-141
    • Allwein, E.1    Schapire, R.2    Singer, Y.3
  • 14
    • 33745604236 scopus 로고    scopus 로고
    • Stable signal recovery from incomplete and inaccurate measurements
    • Emmanuel Candès, Justin Romberg, and Terrence Tao. Stable signal recovery from incomplete and inaccurate measurements. Comm. Pure Appl. Math., 59:1207-122, 2006.
    • (2006) Comm. Pure Appl. Math. , vol.59 , pp. 1207-1122
    • Candès, E.1    Romberg, J.2    Tao, T.3
  • 15
    • 36248929865 scopus 로고    scopus 로고
    • Deterministic constructions of compressed sensing matrices
    • R. DeVore. Deterministic constructions of compressed sensing matrices. J. of Complexity, 23:918-925, 2007.
    • (2007) J. of Complexity , vol.23 , pp. 918-925
    • DeVore, R.1
  • 16
    • 55649100730 scopus 로고    scopus 로고
    • Uniform uncertainty principle for bernoulli and subgaussian ensembles
    • Shahar Mendelson, Alain Pajor, and Nicole Tomczak-Jaegermann. Uniform uncertainty principle for Bernoulli and subgaussian ensembles. Constructive Approximation, 28(3):277-289, 2008.
    • (2008) Constructive Approximation , vol.28 , Issue.3 , pp. 277-289
    • Mendelson, S.1    Pajor, A.2    Tomczak-Jaegermann, N.3
  • 18
    • 0027842081 scopus 로고
    • Matching pursuits with time-frequency dictionaries
    • S. Mallat and Z. Zhang. Matching pursuits with time-frequency dictionaries. IEEE Transactions on Signal Processing, 41(12):3397-3415, 1993.
    • (1993) IEEE Transactions on Signal Processing , vol.41 , Issue.12 , pp. 3397-3415
    • Mallat, S.1    Zhang, Z.2
  • 19
    • 85161969930 scopus 로고    scopus 로고
    • Adaptive forward-backward greedy algorithm for sparse learning with linear models
    • Tong Zhang. Adaptive forward-backward greedy algorithm for sparse learning with linear models. In Proc. Neural Information Processing Systems, 2008.
    • (2008) Proc. Neural Information Processing Systems
    • Tong, Z.1
  • 23
    • 14344249889 scopus 로고    scopus 로고
    • 2 regularization, and rotational invariance
    • 2 regularization, and rotational invariance. In ICML, 2004.
    • (2004) ICML
    • Ng, A.1
  • 27
    • 33144483155 scopus 로고    scopus 로고
    • Stable recovery of sparse overcomplete representations in the presence of noise
    • David Donoho, Michael Elad, and Vladimir Temlyakov. Stable recovery of sparse overcomplete representations in the presence of noise. IEEE Trans. Info. Theory, 52(1):6-18, 2006.
    • (2006) IEEE Trans. Info. Theory , vol.52 , Issue.1 , pp. 6-18
    • Donoho, D.1    Elad, M.2    Temlyakov, V.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.