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Volumn 148, Issue , 2006, Pages 401-408

Learning a kernel function for classification with small training samples

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTATION THEORY; DATA ACQUISITION; SUPPORT VECTOR MACHINES;

EID: 34250707340     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1143844.1143895     Document Type: Conference Paper
Times cited : (36)

References (22)
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    • Baxter, J.1
  • 4
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    • Chapelle, O, Schölkopf, B, & Zien, A, Eds, Cambridge: MIT Press, in press
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    • (1995) Journal of Artificial Intelligence Research , vol.2 , pp. 263-286
    • Dietterich, T.G.1    Bakiri, G.2
  • 9
    • 84905384694 scopus 로고    scopus 로고
    • From few to many: Generative models for recognition under variable pose and illumination
    • Georghiades, A., Belhumeur, P., & Kriegman, D. (2000). From few to many: Generative models for recognition under variable pose and illumination. Automatic Face and Gesture Recognition (pp. 277-284).
    • (2000) Automatic Face and Gesture Recognition , pp. 277-284
    • Georghiades, A.1    Belhumeur, P.2    Kriegman, D.3
  • 12
    • 0032203257 scopus 로고    scopus 로고
    • Gradient-based learning applied to document recognition
    • LeCun, Y., Bottou, L., Bengio, Y., & Haffner, P. (1998). Gradient-based learning applied to document recognition. Proceedings of the IEEE, 86, 2278-2324.
    • (1998) Proceedings of the IEEE , vol.86 , pp. 2278-2324
    • LeCun, Y.1    Bottou, L.2    Bengio, Y.3    Haffner, P.4
  • 13
    • 84932617705 scopus 로고    scopus 로고
    • Learning generative visual models from few training examples: An incremental bayesian approach tested on 101 object categories
    • Li, F. F., Fergus, R., & Perona, P. (2004). Learning generative visual models from few training examples: an incremental bayesian approach tested on 101 object categories. CVPR, Workshop on Generative-Model Based Vision.
    • (2004) CVPR, Workshop on Generative-Model Based Vision
    • Li, F.F.1    Fergus, R.2    Perona, P.3
  • 14
    • 0033712893 scopus 로고    scopus 로고
    • Learning from one example through shared densities on transforms
    • Miller, E., Matsakis, N., & Viola, P. (2000). Learning from one example through shared densities on transforms. CVPR (pp. 464-471).
    • (2000) CVPR , pp. 464-471
    • Miller, E.1    Matsakis, N.2    Viola, P.3
  • 16
    • 0032316976 scopus 로고    scopus 로고
    • Recognizing novel 3-d objects under new illumination and viewing position using a small number of example views or even a single view
    • Sali, E., & Ullman, S. (1998). Recognizing novel 3-d objects under new illumination and viewing position using a small number of example views or even a single view. ICCV (pp. 153-161).
    • (1998) ICCV , pp. 153-161
    • Sali, E.1    Ullman, S.2
  • 17
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    • Improved boosting using confidence-rated predictions
    • Schapire, R. E., & Singer, Y. (1999). Improved boosting using confidence-rated predictions. Machine Learning, 37, 297-336.
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    • Schapire, R.E.1    Singer, Y.2
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  • 19
    • 0003901612 scopus 로고    scopus 로고
    • Boston, MA: Kluwer Academic Publishers
    • Thrun, S., & Pratt, L. (1998). Learning to learn. Boston, MA: Kluwer Academic Publishers.
    • (1998) Learning to learn
    • Thrun, S.1    Pratt, L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.