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Volumn 2, Issue , 2003, Pages 1134-1141

A Bayesian approach to unsupervised one-shot learning of object categories

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; IMAGE RETRIEVAL; LEARNING SYSTEMS; NEURAL NETWORKS; PROBABILITY DENSITY FUNCTION;

EID: 0344983284     PISSN: 15505499     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (593)

References (18)
  • 1
    • 0023322501 scopus 로고
    • Recognition-by-components: A theory of human image understanding
    • I. Biederman, "Recognition-by-Components: A Theory of Human Image Understanding." Psychological Review, vol. 94, pp. 115-147, 1987.
    • (1987) Psychological Review , vol.94 , pp. 115-147
    • Biederman, I.1
  • 3
    • 0031648023 scopus 로고    scopus 로고
    • Example-based learning for view-based human face detection
    • Jan
    • K. Sung and T. Poggio, "Example-based Learning for View-based Human Face Detection", IEEE Trans. Pattern Anal. Mach. Intell., vol. 20, no. 1, pp. 39-51, Jan, 1998.
    • (1998) IEEE Trans. Pattern Anal. Mach. Intell. , vol.20 , Issue.1 , pp. 39-51
    • Sung, K.1    Poggio, T.2
  • 4
    • 0033208584 scopus 로고    scopus 로고
    • A computational model for visual selection
    • Y. Amit and D. Geman, "A computational model for visual selection", Neural Computation, vol. 11, no. 7, pp1691-1715, 1999.
    • (1999) Neural Computation , vol.11 , Issue.7 , pp. 1691-1715
    • Amit, Y.1    Geman, D.2
  • 5
    • 0033682228 scopus 로고    scopus 로고
    • A statistical approach to 3D object detection applied to faces and cars
    • H. Schneiderman, and T. Kanade, "A Statistical Approach to 3D Object Detection Applied to Faces and Cars", Proc. CVPR, pp. 746-751, 2000.
    • (2000) Proc. CVPR , pp. 746-751
    • Schneiderman, H.1    Kanade, T.2
  • 6
    • 0033698725 scopus 로고    scopus 로고
    • Unsupervised learning of models for recognition
    • M. Weber, M. Welling and P. Perona, "Unsupervised learning of models for recognition", Proc. 6th ECCV, vol. 2, pp. 101-108, 2000.
    • (2000) Proc. 6th ECCV , vol.2 , pp. 101-108
    • Weber, M.1    Welling, M.2    Perona, P.3
  • 7
    • 0035680116 scopus 로고    scopus 로고
    • Rapid object detection using a boosted cascade of simple features
    • P. Viola and M. Jones, "Rapid object detection using a boosted cascade of simple features", Proc. CVPR, vol. 1, pp. 511-518, 2001.
    • (2001) Proc. CVPR , vol.1 , pp. 511-518
    • Viola, P.1    Jones, M.2
  • 8
    • 0003540740 scopus 로고    scopus 로고
    • D.C. Knill and W. Richards, (ed.); Cambridge University Press
    • D.C. Knill and W. Richards, (ed.) Perception as Bayesian Inference, Cambridge University Press, 1996.
    • (1996) Perception as Bayesian Inference
  • 9
    • 84957803102 scopus 로고    scopus 로고
    • A probabilistic approach to object recognition using local photometry and global geometry
    • M.C. Burl, M. Weber, and P. Perona, "A probabilistic approach to object recognition using local photometry and global geometry", Proc. ECCV, pp.628-641, 1998.
    • (1998) Proc. ECCV , pp. 628-641
    • Burl, M.C.1    Weber, M.2    Perona, P.3
  • 10
    • 0041940256 scopus 로고    scopus 로고
    • Object class recognition by unsupervised scale-invariant learning
    • R. Fergus, P. Perona and A. Zisserman, "Object class recognition by unsupervised scale-invariant learning", Proc. CVPR, vol. 2, pp. 264-271, 2003.
    • (2003) Proc. CVPR , vol.2 , pp. 264-271
    • Fergus, R.1    Perona, P.2    Zisserman, A.3
  • 11
    • 85156191859 scopus 로고
    • Bayesian methods for mixtures of experts
    • S. Waterhouse, D. MacKay, and T. Robinson, "Bayesian methods for mixtures of experts", Proc. NIPS, pp. 351-357, 1995.
    • (1995) Proc. NIPS , pp. 351-357
    • Waterhouse, S.1    MacKay, D.2    Robinson, T.3
  • 12
    • 0003425255 scopus 로고    scopus 로고
    • Ensemble learning and evidence maximization
    • D. MacKay, "Ensemble learning and evidence maximization", Proc. NIPS, 1995.
    • Proc. NIPS, 1995
    • MacKay, D.1
  • 13
    • 0033225865 scopus 로고    scopus 로고
    • An introduction to variational methods for graphical models
    • M.I. Jordan, Z. Ghahramani, T.S. Jaakkola and L.K. Saul, "An introduction to variational methods for graphical models", Machine Learning, vol. 37, pp. 183-233, 1999.
    • (1999) Machine Learning , vol.37 , pp. 183-233
    • Jordan, M.I.1    Ghahramani, Z.2    Jaakkola, T.S.3    Saul, L.K.4
  • 14
    • 0003278032 scopus 로고    scopus 로고
    • Inferring parameters and structure of latent variable models by variational bayes
    • H. Attias, "Inferring parameters and structure of latent variable models by variational bayes", 15th conference on Uncertainty in Artificial Intelligence, pp. 21-30, 1999.
    • (1999) 15th Conference on Uncertainty in Artificial Intelligence , pp. 21-30
    • Attias, H.1
  • 15
    • 26144467412 scopus 로고    scopus 로고
    • Variational bayes for d-dimensional gaussian mixture models
    • Tech. Rep., University College London
    • W.D. Penny, "Variational Bayes for d-dimensional Gaussian mixture models", Tech. Rep., University College London, 2001.
    • (2001)
    • Penny, W.D.1
  • 16
    • 0003931083 scopus 로고    scopus 로고
    • Using lower bounds to approximate integrals
    • Tech. Rep., Carnegie Mellon University
    • T.P. Minka, "Using lower bounds to approximate integrals", Tech. Rep., Carnegie Mellon University, 2001.
    • (2001)
    • Minka, T.P.1
  • 18
    • 0002788893 scopus 로고    scopus 로고
    • A view of the EM algorithm that justifies incremental, sparse and other variants
    • edt. M.I. Jordan; Kluwer academic press, Norwell
    • R.M. Neal and G.E. Hinton, "A view of the EM algorithm that justifies incremental, sparse and other variants." in Learning in Graphical Models edt. M.I. Jordan, pp. 355-368, Kluwer academic press, Norwell, 1998.
    • (1998) Learning in Graphical Models , pp. 355-368
    • Neal, R.M.1    Hinton, G.E.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.