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Volumn 12, Issue , 2011, Pages 565-592

Variable sparsity kernel learning

Author keywords

Mirror descent; Mixed norm; Multiple Kernel Learning; Object categorization; Scalability

Indexed keywords

KERNEL LEARNING; LEARNING TASKS; MIXED-NORM; MULTI-MODAL; MULTIPLE KERNEL LEARNING; NOVEL ALGORITHM; OBJECT CATEGORIZATION; TRAINING DATA;

EID: 79952749920     PISSN: 15324435     EISSN: 15337928     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (36)

References (32)
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    • Beck, A.1    Teboulle, M.2
  • 3
    • 0347242385 scopus 로고    scopus 로고
    • Lectures on modern convex optimization: Analysis, algorithms and engineering applications
    • A. Ben-Tal and A. Nemirovski. Lectures on modern convex optimization: Analysis, algorithms and engineering applications. MPS/SIAM Series on Optimization, 1, 2001.
    • (2001) MPS/SIAM Series on Optimization , vol.1
    • Ben-Tal, A.1    Nemirovski, A.2
  • 4
    • 0036342276 scopus 로고    scopus 로고
    • The ordered subsets mirror descent optimization method with applications to tomography
    • A. Ben-Tal, T. Margalit, and A. Nemirovski. The ordered subsets mirror descent optimization method with applications to tomography. SIAM Journal of Optimization, 12(1):79-108, 2001.
    • (2001) SIAM Journal of Optimization , vol.12 , Issue.1 , pp. 79-108
    • Ben-Tal, A.1    Margalit, T.2    Nemirovski, A.3
  • 10
    • 57249107300 scopus 로고    scopus 로고
    • Smooth optimization with approximate gradient
    • A. D'Aspermont. Smooth optimization with approximate gradient. SIAM Journal on Optimization, 19(3):1171-1183, 2008.
    • (2008) SIAM Journal on Optimization , vol.19 , Issue.3 , pp. 1171-1183
    • D'Aspermont, A.1
  • 13
    • 78049387033 scopus 로고    scopus 로고
    • Non-sparse regularization and efficient training with multiple kernels
    • University of California, Berkeley
    • M. Kloft, U. Brefeld, S. Sonnenburg, and A. Zien. Non-sparse regularization and efficient training with multiple kernels. Technical Report UCB/EECS-2010-21, University of California, Berkeley, 2010.
    • (2010) Technical Report UCB/EECS-2010-21
    • Kloft, M.1    Brefeld, U.2    Sonnenburg, S.3    Zien, A.4
  • 22
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    • Minimax theorems and conjugate saddle-functions
    • R. T. Rockafellar. Minimax theorems and conjugate saddle-functions. Mathematica Scandinava, 14:151-173, 1964.
    • (1964) Mathematica Scandinava , vol.14 , pp. 151-173
    • Rockafellar, R.T.1
  • 28
    • 0035533631 scopus 로고    scopus 로고
    • Convergence of a block coordinate descent method for nondifferentiable minimisation
    • P. Tseng. Convergence of a block coordinate descent method for nondifferentiable minimisation. Journal of Optimization Theory and Applications, 2001.
    • (2001) Journal of Optimization Theory and Applications
    • Tseng, P.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.