메뉴 건너뛰기




Volumn 25, Issue 1, 2003, Pages 1-17

Transformation-invariant clustering using the EM algorithm

Author keywords

Clustering; EM algorithm; Filtering; Generative models; Probability model; Transformation; Transformation invariance; Video summary

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; IMAGE ANALYSIS; MATHEMATICAL TRANSFORMATIONS; OBJECT RECOGNITION; SCANNING ELECTRON MICROSCOPY; VIDEO SIGNAL PROCESSING;

EID: 0037250978     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2003.1159942     Document Type: Article
Times cited : (98)

References (27)
  • 1
    • 0001492549 scopus 로고    scopus 로고
    • Shape quantization and recognition with randomized trees
    • Y. Amit and D. Geman, "Shape Quantization and Recognition with Randomized Trees," Neural Computation, vol. 9, pp. 1545-1588, 1997.
    • (1997) Neural Computation , vol.9 , pp. 1545-1588
    • Amit, Y.1    Geman, D.2
  • 2
    • 0347963789 scopus 로고    scopus 로고
    • GTM: The generative topographic mapping
    • C.M. Bishop, M. Svensén, and C.K.I. Williams, "GTM: The Generative Topographic Mapping," Neural Computation, vol. 10, no. 1, pp. 215-235, 1998.
    • (1998) Neural Computation , vol.10 , Issue.1 , pp. 215-235
    • Bishop, C.M.1    Svensén, M.2    Williams, C.K.I.3
  • 4
    • 0001179408 scopus 로고
    • Competition and multiple cause models
    • P. Dayan and R.S. Zemel, "Competition and Multiple Cause Models," Neural Computation, vol. 7, pp. 565-579, 1995.
    • (1995) Neural Computation , vol.7 , pp. 565-579
    • Dayan, P.1    Zemel, R.S.2
  • 7
    • 0032603958 scopus 로고    scopus 로고
    • Variational learning in non-linear gaussian belief networks
    • B.J. Frey and G.E. Hinton, "Variational Learning in Non-Linear Gaussian Belief Networks," Neural Computation, vol. 11, no. 1, pp. 193-214, 1999.
    • (1999) Neural Computation , vol.11 , Issue.1 , pp. 193-214
    • Frey, B.J.1    Hinton, G.E.2
  • 9
    • 0032681280 scopus 로고    scopus 로고
    • Estimating mixture models of images and inferring spatial transformations using the EM algorithm
    • June
    • B.J. Frey and N. Jojic, "Estimating Mixture Models of Images and Inferring Spatial Transformations Using the EM Algorithm," Proc. IEEE Conf. Computer Vision and Pattern Recognition, pp. 416-422, June 1999.
    • (1999) Proc. IEEE Conf. Computer Vision and Pattern Recognition , pp. 416-422
    • Frey, B.J.1    Jojic, N.2
  • 10
    • 0033283826 scopus 로고    scopus 로고
    • Transformed component analysis: Joint estimation of spatial transformations and image components
    • Sept.
    • B.J. Frey and N. Jojic, "Transformed Component Analysis: Joint Estimation of Spatial Transformations and Image Components," Proc. IEEE Int'l Conf. Computer Vision, Sept. 1999.
    • (1999) Proc. IEEE Int'l Conf. Computer Vision
    • Frey, B.J.1    Jojic, N.2
  • 12
  • 14
    • 0012850690 scopus 로고    scopus 로고
    • technical report, School of Computer and Electrical Eng. Project Report, Ben-Gurion Univ.
    • R. Golem and I. Cohen, "Scanning Electron Microscope Image Enhancement," technical report, School of Computer and Electrical Eng. Project Report, Ben-Gurion Univ., 1998.
    • (1998) Scanning Electron Microscope Image Enhancement
    • Golem, R.1    Cohen, I.2
  • 15
    • 0029652445 scopus 로고
    • The wake-sleep algorithm for unsupervised neural networks
    • G.E. Hinton, P. Dayan, B.J. Frey, and R.M. Neal, "The Wake-Sleep Algorithm for Unsupervised Neural Networks," Science, vol. 268, pp. 1158-1161, 1995.
    • (1995) Science , vol.268 , pp. 1158-1161
    • Hinton, G.E.1    Dayan, P.2    Frey, B.J.3    Neal, R.M.4
  • 18
    • 84957604139 scopus 로고    scopus 로고
    • Contour tracking by stochastic propagation of conditional density
    • M. Isard and A. Blake, "Contour Tracking by Stochastic Propagation of Conditional Density," Proc. European Conf. Computer Vision, pp. 343-356, 1996.
    • (1996) Proc. European Conf. Computer Vision , pp. 343-356
    • Isard, M.1    Blake, A.2
  • 19
    • 0033698724 scopus 로고    scopus 로고
    • Transformed hidden Markov models: Estimating mixture models of images and inferring spatial transformations in video sequences
    • June
    • N. Jojic, N. Petrovic, B.J. Frey, and T.S. Huang, "Transformed Hidden Markov Models: Estimating Mixture Models of Images and Inferring Spatial Transformations in Video Sequences," Proc. IEEE Conf. Computer Vision and Pattern Recognition, June 2000.
    • (2000) Proc. IEEE Conf. Computer Vision and Pattern Recognition
    • Jojic, N.1    Petrovic, N.2    Frey, B.J.3    Huang, T.S.4
  • 20
    • 0032203257 scopus 로고    scopus 로고
    • Gradient-based learning applied to document recognition
    • Nov.
    • Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner, "Gradient-Based Learning Applied to Document Recognition," Proc. IEEE, vol. 86, no. 11, pp. 2278-2324, Nov. 1998.
    • (1998) Proc. IEEE , vol.86 , Issue.11 , pp. 2278-2324
    • LeCun, Y.1    Bottou, L.2    Bengio, Y.3    Haffner, P.4
  • 21
    • 0001920729 scopus 로고
    • Similarity mmetric learning for a variable-kernel classifier
    • D.G. Lowe, "Similarity Mmetric Learning for a Variable-Kernel Classifier," Neural Computation, vol. 7, no. 1, pp. 72-85, 1995.
    • (1995) Neural Computation , vol.7 , Issue.1 , pp. 72-85
    • Lowe, D.G.1
  • 26


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.