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Volumn , Issue , 2011, Pages 49-56

Learning output kernels with block coordinate descent

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION ACCURACY; COORDINATE DESCENT; DATA SETS; GLOBAL MINIMIZERS; KERNEL MATRICES; LEARNING PERFORMANCE; LOCAL MINIMIZER; REPRODUCING KERNEL HILBERT SPACES; VECTOR-VALUED FUNCTION; VISUAL INTERPRETATION;

EID: 80053439496     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (85)

References (16)
  • 1
    • 0014476598 scopus 로고
    • Conditions for positive and nonnegative definiteness in terms of pseudoinverses
    • Albert, A. Conditions for positive and nonnegative definiteness in terms of pseudoinverses. SIAM Journal on Applied Mathematics, 17(2):434-440, 1969.
    • (1969) SIAM Journal on Applied Mathematics , vol.17 , Issue.2 , pp. 434-440
    • Albert, A.1
  • 6
    • 48849086653 scopus 로고    scopus 로고
    • Vector valued reproducing kernel Hilbert spaces of integrable functions and Mercer theorem
    • Carmeli, C., Vito, E. De, and Toigo, A. Vector valued reproducing kernel Hilbert spaces of integrable functions and Mercer theorem. Analysis and Applications, 4:377-408, 2006.
    • (2006) Analysis and Applications , vol.4 , pp. 377-408
    • Carmeli, C.1    De Vito, E.2    Toigo, A.3
  • 9
    • 84932617705 scopus 로고    scopus 로고
    • Learning generative visual models from few training examples: An incremental bayesian approach tested on 101 object categories
    • Fei-Fei, L., Fergus, R., and Perona, P. Learning generative visual models from few training examples: An incremental bayesian approach tested on 101 object categories. In CVPR, pp. 178, 2004.
    • (2004) CVPR , pp. 178
    • Fei-Fei, L.1    Fergus, R.2    Perona, P.3
  • 10
    • 85067032737 scopus 로고    scopus 로고
    • On feature combination for multiclass object classification
    • Gehler, P. and Nowozin, S. On feature combination for multiclass object classification. In ICCV, pp. 221-228, 2009.
    • (2009) ICCV , pp. 221-228
    • Gehler, P.1    Nowozin, S.2
  • 12
    • 80053458316 scopus 로고    scopus 로고
    • A multiple kernel learning approach to joint multi-class object detection
    • Lampert, C.H. and Blaschko, M.B. A multiple kernel learning approach to joint multi-class object detection. In DAGM, 2008.
    • (2008) DAGM
    • Lampert, C.H.1    Blaschko, M.B.2
  • 13
    • 14544299611 scopus 로고    scopus 로고
    • On learning vector-valued functions
    • DOI 10.1162/0899766052530802
    • Micchelli, C. A. and Pontil, M. On learning vector-valued functions. Neural Computation, 17:177-204, 2005. (Pubitemid 40305887)
    • (2005) Neural Computation , vol.17 , Issue.1 , pp. 177-204
    • Micchelli, C.A.1    Pontil, M.2
  • 16
    • 34547992388 scopus 로고    scopus 로고
    • Multiclass multiple kernel learning
    • Zien, A. and Ong, C.S. Multiclass multiple kernel learning. In ICML, pp. 1191-1198, 2007.
    • (2007) ICML , pp. 1191-1198
    • Zien, A.1    Ong, C.S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.