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Volumn 1, Issue , 2006, Pages 308-315

Improving recognition of novel input with similarity

Author keywords

[No Author keywords available]

Indexed keywords

CONTEXTUAL INFORMATION; DISSIMILARITY INFORMATION; INFORMATION SOURCES;

EID: 33845571603     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2006.151     Document Type: Conference Paper
Times cited : (16)

References (18)
  • 1
    • 24644505035 scopus 로고    scopus 로고
    • Improved degraded document recognition with hybrid modeling techniques and character n-grams
    • A. Brakensiek, D. Willett, and G. Rigoll. Improved degraded document recognition with hybrid modeling techniques and character n-grams. In Proc. Intl. Conf. on Pattern Recognition, volume 4, pages 438-441, 2000.
    • (2000) Proc. Intl. Conf. on Pattern Recognition , vol.4 , pp. 438-441
    • Brakensiek, A.1    Willett, D.2    Rigoll, G.3
  • 7
    • 0024053929 scopus 로고
    • Complete discrete 2-D Gabor transforms by neural networks for image analysis and compression
    • J. G. Daugman. Complete discrete 2-D Gabor transforms by neural networks for image analysis and compression. IEEE Transactions on Acoustics, Speech, and Signal. Processing, 36(7): 1169-1179, 1988.
    • (1988) IEEE Transactions on Acoustics, Speech, and Signal. Processing , vol.36 , Issue.7 , pp. 1169-1179
    • Daugman, J.G.1
  • 8
    • 84998655077 scopus 로고
    • Handwritten Chinese character recognition using spatial Gabor filters and self-organizing feature maps
    • D. Deng, K. Chan, and Y. Yu. Handwritten Chinese character recognition using spatial Gabor filters and self-organizing feature maps. In Proc. Intl. Conf. on Image Processing, volume 3, pages 940-944, 1994.
    • (1994) Proc. Intl. Conf. on Image Processing , vol.3 , pp. 940-944
    • Deng, D.1    Chan, K.2    Yu, Y.3
  • 9
    • 9444295526 scopus 로고    scopus 로고
    • Technical report, Microsoft Research, One Microsoft Way, Redmond, WA 98052-6399
    • J. Goodman. Exponential priors for maximum entropy models. Technical report, Microsoft Research, One Microsoft Way, Redmond, WA 98052-6399, 2003.
    • (2003) Exponential Priors for Maximum Entropy Models
    • Goodman, J.1
  • 10
    • 0030717952 scopus 로고    scopus 로고
    • Enhancing degraded document images via bitmap clustering and averaging
    • J. D. Hobby and T. K. Ho. Enhancing degraded document images via bitmap clustering and averaging. In Proc. Intl. Conf. on Document Analysis and Recognition, volume 1, pages 394-400, 1997.
    • (1997) Proc. Intl. Conf. on Document Analysis and Recognition , vol.1 , pp. 394-400
    • Hobby, J.D.1    Ho, T.K.2
  • 13
    • 0142192295 scopus 로고    scopus 로고
    • Conditional random fields: Probabilistic models for segmenting and labeling sequence data
    • Morgan Kaufmann, San Francisco, CA
    • J. Lafferty, A. McCallum, and F. Pereira. Conditional random fields: Probabilistic models for segmenting and labeling sequence data. In Proc. 18th International Conference on Machine Learning, pages 282-289. Morgan Kaufmann, San Francisco, CA, 2001.
    • (2001) Proc. 18th International Conference on Machine Learning , pp. 282-289
    • Lafferty, J.1    McCallum, A.2    Pereira, F.3
  • 17
    • 0000673452 scopus 로고
    • Bayesian regularization and pruning using a Laplace prior
    • P. M. Williams. Bayesian regularization and pruning using a Laplace prior. Neural Computation, 7:117-143, 1995.
    • (1995) Neural Computation , vol.7 , pp. 117-143
    • Williams, P.M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.