메뉴 건너뛰기




Volumn 30, Issue 2, 2008, Pages 348-353

MultiK-MHKS: A novel multiple kernel learning algorithm

Author keywords

Canonical correlation analysis; Modified Ho Kashyap algorithm; Multiple kernel learning; Pattern recognition; Single learning process

Indexed keywords

APPROXIMATION ALGORITHMS; BENCHMARKING; ERRORS; OPTICAL CORRELATION; PATTERN RECOGNITION;

EID: 37549013404     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2007.70786     Document Type: Article
Times cited : (118)

References (32)
  • 2
    • 0242540474 scopus 로고    scopus 로고
    • MARK: A Boosting Algorithm for Heterogeneous Kernel Models
    • K.P. Bennett, M. Momma, and M.J. Embrechts, "MARK: A Boosting Algorithm for Heterogeneous Kernel Models," Proc. ACM SIGKDD, pp. 24-31, 2002.
    • (2002) Proc. ACM SIGKDD , pp. 24-31
    • Bennett, K.P.1    Momma, M.2    Embrechts, M.J.3
  • 4
    • 0036161011 scopus 로고    scopus 로고
    • Choosing Multiple Parameters for Support Vector Machines
    • O. Chapelle, V. Vapnik, O. Bousquet, and S. Mukherjee, "Choosing Multiple Parameters for Support Vector Machines," Machine Learning vol. 46, no. 1-3, pp. 131-159, 2002.
    • (2002) Machine Learning , vol.46 , Issue.1-3 , pp. 131-159
    • Chapelle, O.1    Vapnik, V.2    Bousquet, O.3    Mukherjee, S.4
  • 5
    • 0040675320 scopus 로고    scopus 로고
    • On Different Facets of Regularization Theory
    • Z. Chen and S. Haykin, "On Different Facets of Regularization Theory," Neural Computation, vol. 14, no. 12, pp. 1481-1497, 2002.
    • (2002) Neural Computation , vol.14 , Issue.12 , pp. 1481-1497
    • Chen, Z.1    Haykin, S.2
  • 11
    • 10044285992 scopus 로고    scopus 로고
    • Canonical Correlation Analysis: An Overview with Application to Learning Methods
    • D. Hardoon, S. Szedmak, and J. Shawe-Taylor, "Canonical Correlation Analysis: An Overview with Application to Learning Methods," Neural Computation, vol. 16, pp. 2639-2664, 2004.
    • (2004) Neural Computation , vol.16 , pp. 2639-2664
    • Hardoon, D.1    Szedmak, S.2    Shawe-Taylor, J.3
  • 12
    • 0000107975 scopus 로고
    • Relations between Two Sets of Variates
    • H. Hotelling, "Relations between Two Sets of Variates," Biometrika vol. 28, pp. 321-377, 1936.
    • (1936) Biometrika , vol.28 , pp. 321-377
    • Hotelling, H.1
  • 13
    • 0002229304 scopus 로고    scopus 로고
    • Pairwise Classification and Support Vector Machines
    • B. Schölkopf, C. Burges, A. Somla, eds, pp, MIT Press
    • U. Kreßel, "Pairwise Classification and Support Vector Machines," Advances in Kernel Methods: Support Vector Machine, B. Schölkopf, C. Burges, A. Somla, eds., pp. 255-268, MIT Press, 1998.
    • (1998) Advances in Kernel Methods: Support Vector Machine , pp. 255-268
    • Kreßel, U.1
  • 16
    • 0042842443 scopus 로고    scopus 로고
    • Ho-Kashyap Classifier with Generalization Control
    • J. Leski, "Ho-Kashyap Classifier with Generalization Control," Pattern Recognition Letters, vol. 24, no. 14, pp. 2281-2290, 2003.
    • (2003) Pattern Recognition Letters , vol.24 , Issue.14 , pp. 2281-2290
    • Leski, J.1
  • 17
    • 37549030086 scopus 로고    scopus 로고
    • Using KCCA for Japanese-English Cross-Language Information Retrieval and Classification
    • Y. Li and J. Shawe-Taylor, "Using KCCA for Japanese-English Cross-Language Information Retrieval and Classification," J. Intelligent Information Systems, 2005.
    • (2005) J. Intelligent Information Systems
    • Li, Y.1    Shawe-Taylor, J.2
  • 18
    • 0037245005 scopus 로고    scopus 로고
    • Function Replacement vs. Kernel Trick
    • J. Ma, "Function Replacement vs. Kernel Trick," Neurocomputing, vol. 50, pp. 479-483, 2003.
    • (2003) Neurocomputing , vol.50 , pp. 479-483
    • Ma, J.1
  • 21
    • 0141869869 scopus 로고    scopus 로고
    • A Pattern Search Method for Model Selection of Support Vector Regression
    • M. Momma and K. Bennett, "A Pattern Search Method for Model Selection of Support Vector Regression," Proc. Second SIAM Int'l Conf. Data Mining, pp. 261-274, 2002.
    • (2002) Proc. Second SIAM Int'l Conf. Data Mining , pp. 261-274
    • Momma, M.1    Bennett, K.2
  • 24
    • 0041995203 scopus 로고    scopus 로고
    • A Generalized Kernel Approach to Dissimilarity-Based Classification
    • E. Pekalska, P. Paclik, and R.P.W. Duin, "A Generalized Kernel Approach to Dissimilarity-Based Classification," J. Machine Learning Research vol. 2, pp. 175-211, 2001.
    • (2001) J. Machine Learning Research , vol.2 , pp. 175-211
    • Pekalska, E.1    Paclik, P.2    Duin, R.P.W.3
  • 31
    • 15344339935 scopus 로고    scopus 로고
    • Optimizing the Kernel in the Empirical Feature Space
    • H. Xiong, M.N.S. Swamy, and M.O. Ahmad, "Optimizing the Kernel in the Empirical Feature Space," IEEE Trans. Neural Networks, vol. 16, no. 2, pp. 460-474, 2005.
    • (2005) IEEE Trans. Neural Networks , vol.16 , Issue.2 , pp. 460-474
    • Xiong, H.1    Swamy, M.N.S.2    Ahmad, M.O.3
  • 32
    • 30044447599 scopus 로고    scopus 로고
    • Generalized Low Rank Approximation of Matrices
    • J. Ye, "Generalized Low Rank Approximation of Matrices," Machine Learning, vol. 61, nos. 1-3, pp. 167-191, 2005.
    • (2005) Machine Learning , vol.61 , Issue.1-3 , pp. 167-191
    • Ye, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.