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Volumn 227, Issue , 2007, Pages 505-512

Support cluster machine

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); DATA MINING; LEARNING ALGORITHMS; PROBLEM SOLVING; RADIAL BASIS FUNCTION NETWORKS; VECTOR QUANTIZATION;

EID: 34547977713     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1273496.1273560     Document Type: Conference Paper
Times cited : (35)

References (27)
  • 2
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    • Support vector machines using GMM supervectors for speaker verification
    • Campbell, W. M., Sturim, D. E., & Reynolds, D. A. (2006). Support vector machines using GMM supervectors for speaker verification. IEEE Signal Processing Letters, 13, 308-311.
    • (2006) IEEE Signal Processing Letters , vol.13 , pp. 308-311
    • Campbell, W.M.1    Sturim, D.E.2    Reynolds, D.A.3
  • 5
    • 0000913324 scopus 로고    scopus 로고
    • SVMTorch: Support vector machines for large-scale regression problems
    • Collobert, R., & Bengio, S. (2001). SVMTorch: Support vector machines for large-scale regression problems. J. of Machine Learning Research, 1, 143-160.
    • (2001) J. of Machine Learning Research , vol.1 , pp. 143-160
    • Collobert, R.1    Bengio, S.2
  • 12
    • 0001138328 scopus 로고
    • A K-Means clustering algorithm
    • Hartigan, J. A., & Wong, M. A. (1979). A K-Means clustering algorithm. Applied Statistics, 28, 100-108.
    • (1979) Applied Statistics , vol.28 , pp. 100-108
    • Hartigan, J.A.1    Wong, M.A.2
  • 14
    • 0002714543 scopus 로고    scopus 로고
    • Making large-scale svm learning practical
    • B. Scholkopf, C. J. C. Burges and A. J. Smola Eds, Cambridge, MA: MIT Press
    • Joachims, T. (1999). Making large-scale svm learning practical. In B. Scholkopf, C. J. C. Burges and A. J. Smola (Eds.), Advances in kernel methods support vector learning, 169-184. Cambridge, MA: MIT Press.
    • (1999) Advances in kernel methods support vector learning , pp. 169-184
    • Joachims, T.1
  • 16
    • 33745777639 scopus 로고    scopus 로고
    • Incremental support vector learning: Analysis, implementation and applications
    • Laskov, P., Gehl, C., Krüger, S., & Müller, K. (2006). Incremental support vector learning: Analysis, implementation and applications. J. of Machine Learning Research, 7, 1909-1936.
    • (2006) J. of Machine Learning Research , vol.7 , pp. 1909-1936
    • Laskov, P.1    Gehl, C.2    Krüger, S.3    Müller, K.4
  • 17
    • 34547979999 scopus 로고    scopus 로고
    • Lee, Y., k Mangasarian, O. L. (2001). RSVM: Reduced support vector machines. Proc. of the SIAM Int'l Conf. on Data Mining.
    • Lee, Y., k Mangasarian, O. L. (2001). RSVM: Reduced support vector machines. Proc. of the SIAM Int'l Conf. on Data Mining.
  • 18
    • 17644380073 scopus 로고    scopus 로고
    • A Kullback-Leibler divergence based kernel for SVM classification in multimedia applications
    • Cambridge, MA: MIT Press
    • Moreno, P. J., Ho, P. P., & Vasconcelos, N. (2003). A Kullback-Leibler divergence based kernel for SVM classification in multimedia applications. Advanced Neural Information Processing Systems. Cambridge, MA: MIT Press.
    • (2003) Advanced Neural Information Processing Systems
    • Moreno, P.J.1    Ho, P.P.2    Vasconcelos, N.3
  • 20
    • 0003120218 scopus 로고    scopus 로고
    • Fast training of support vector machines using sequential minimal optimization
    • B. Scholköpf, C. J. C Burges and A. J. Smola Eds, Cambridge, MA: MIT Press
    • Piatt, J. (1999). Fast training of support vector machines using sequential minimal optimization. In B. Scholköpf, C. J. C Burges and A. J. Smola (Eds.), Advances in kernel methods - support vector learning, 185-208. Cambridge, MA: MIT Press.
    • (1999) Advances in kernel methods - support vector learning , pp. 185-208
    • Piatt, J.1
  • 22
    • 10944256620 scopus 로고    scopus 로고
    • Sun, S., Tseng, C. L., Chen, Y. H., Chuang, S. C., k Fu, H. C (2004). Cluster-based support vector machines in text-independent speaker identification. Proc. of the Int'l Joint Conf. on Neural Network.
    • Sun, S., Tseng, C. L., Chen, Y. H., Chuang, S. C., k Fu, H. C (2004). Cluster-based support vector machines in text-independent speaker identification. Proc. of the Int'l Joint Conf. on Neural Network.
  • 23
    • 21844440579 scopus 로고    scopus 로고
    • Core Vector Machines: Fast SVM training on very large data sets
    • Tsang, I. W., Kwok, J. T., & Cheung, P. (2005). Core Vector Machines: Fast SVM training on very large data sets. J. of Machine Learning Research, 6, 363-392.
    • (2005) J. of Machine Learning Research , vol.6 , pp. 363-392
    • Tsang, I.W.1    Kwok, J.T.2    Cheung, P.3
  • 26
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    • Learning concepts from large scale unbalanced data sets using support cluster machines
    • Yuan, J., Li, J., & Zhang, B. (2006). Learning concepts from large scale unbalanced data sets using support cluster machines. Proc. of the ACM Int'l Conf. on Multimedia (pp. 441-450).
    • (2006) Proc. of the ACM Int'l Conf. on Multimedia , pp. 441-450
    • Yuan, J.1    Li, J.2    Zhang, B.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.