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Volumn 2, Issue , 2004, Pages 1019-1022

A new analysis of the value of unlabeled data in semi-supervised learning for image retrieval

Author keywords

[No Author keywords available]

Indexed keywords

CONTENT-BASED IMAGE RETRIEVAL (CBIR); DATA DISTRIBUTION; SEMI-SUPERVISED LEARNING; UNLABELED DATA;

EID: 11244302729     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (39)

References (13)
  • 1
    • 0031620208 scopus 로고    scopus 로고
    • Combining labeled and unlabeled data with co-training
    • New York: ACM
    • A. Blum, and T. Mitchell, "Combining labeled and unlabeled data with co-training," Annual Conf. Comput. Learning Theory, pp. 92-100, New York: ACM, 1998.
    • (1998) Annual Conf. Comput. Learning Theory , pp. 92-100
    • Blum, A.1    Mitchell, T.2
  • 2
    • 0033886806 scopus 로고    scopus 로고
    • Text classification from labeled and unlabeled documents using EM
    • K. Nigam, A McCallum, S. Thrun, and T. Mitchell, 'Text classification from labeled and unlabeled documents using EM," Machine Learning, 39, pp. 1-32, 2000.
    • (2000) Machine Learning , vol.39 , pp. 1-32
    • Nigam, K.1    McCallum, A.2    Thrun, S.3    Mitchell, T.4
  • 3
    • 0028499630 scopus 로고
    • The effect of unlabeled samples in reducing the small sample size problem and mitigating the Hughes phenomenon
    • B. M. Shahshahani, and D. A. Landgrebe, "The effect of unlabeled samples in reducing the small sample size problem and mitigating the Hughes phenomenon," IEEE Trans. Geoscience and Remote Sensing, vol. 32, no. 5, pp. 1087-1095, 1994.
    • (1994) IEEE Trans. Geoscience and Remote Sensing , vol.32 , Issue.5 , pp. 1087-1095
    • Shahshahani, B.M.1    Landgrebe, D.A.2
  • 4
    • 85055482838 scopus 로고    scopus 로고
    • Semi-supervised learning of classifiers: Theory and algorithms for Bayesian network classifiers and applications to human-computer interaction
    • submitted, in revision
    • I. Cohen, N. Sebe, F. G. Cozman, M. C. Cirelo, and T. S. Huang, "Semi-supervised learning of classifiers: theory and algorithms for Bayesian network classifiers and applications to human-computer interaction," submitted to IEEE Trans. on PAMI, in revision, 2003.
    • (2003) IEEE Trans. on PAMI
    • Cohen, I.1    Sebe, N.2    Cozman, F.G.3    Cirelo, M.C.4    Huang, T.S.5
  • 6
    • 0031209604 scopus 로고    scopus 로고
    • Selective sampling using the query by committee algorithm
    • Y. Freund, H. Seung, E. Shamir, and N. Tishby, "Selective sampling using the query by committee algorithm," Machine Learning, 28, pp. 133-168, 1997.
    • (1997) Machine Learning , vol.28 , pp. 133-168
    • Freund, Y.1    Seung, H.2    Shamir, E.3    Tishby, N.4
  • 7
    • 0034792634 scopus 로고    scopus 로고
    • Support vector machine active learning for image retrieval
    • S. Tong, and E. Chang, "Support vector machine active learning for image retrieval," Proc. of ACM Int'l. Conf. Multimedia, pp. 107-118, 2001.
    • (2001) Proc. of ACM Int'l. Conf. Multimedia , pp. 107-118
    • Tong, S.1    Chang, E.2
  • 8
    • 0033897023 scopus 로고    scopus 로고
    • The Bayesian image retrieval system, PicHunter: Theory, implementation, and psychophysical experiments
    • I. J. Cox, et al. "The Bayesian image retrieval system, PicHunter: theory, implementation, and psychophysical experiments," IEEE Trans. Image Proc., 9(1):20-37, 2000.
    • (2000) IEEE Trans. Image Proc. , vol.9 , Issue.1 , pp. 20-37
    • Cox, I.J.1
  • 9
    • 1942515439 scopus 로고    scopus 로고
    • Unlabeled data can degrade classification performance of generative classifiers
    • F. G. Cozman, and I. Cohen, "Unlabeled data can degrade classification performance of generative classifiers," Int'l Florida Artificial Intell. Society Conf., pp. 327-331, 2002.
    • (2002) Int'l Florida Artificial Intell. Society Conf. , pp. 327-331
    • Cozman, F.G.1    Cohen, I.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.