1995_Viola_thesis_registrationMI

Neural networks 53 17 jacobs r jordan m nowlan s

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Unformatted text preview: Image Segmentation Techniques using Pattern Recognition. Medical Physics, 204:1033 1048. Bienenstock, E., Cooper, L., and Munro, P. 1982. Theory for the development of neuron selectivity: Orientation speci city and binocular interaction in visual cortex. Journal of Neuroscience, 2. Reprinted in Anderson and Rosenfeld, 1988. Borgefors, G. 1988. Hierarchical Chamfer Matching: A Parametric Edge Matching Algorithm. IEEE Transactions PAMI, 106:849 865. Bridle, J. S. 1989. Training stochastic model recognition algorithms as networks can lead to maximum mutual information estimation of parameters. In Touretzky, D. S., editor, Advances in Neural Information Processing 2, pages 211 217. Morgan Kaufman. Canny, J. 1986. A Computational Approach to Edge Detection. IEEE Transactions PAMI, PAMI-86:679 698. 153 Paul A. Viola BIBLIOGRAPHY Chin, R. and Dyer, C. 1986. Model-Based Recognition in Robot Vision. Computing Surveys, 18:67 108. Cover, T. M. and Thomas, J. A. 1991. Elements of Information Theory. John Wiley and Sons. Dempster, A., Laird, N., and Rubin, D. 1977. Maximum Likelihood from Incomplete Data via the EM Algorithm. Journal of the Royal Statistical Society, Series B, 39:1 38. Duda, R. and Hart, P. 1973. Pattern Classi cation and Scene Analysis. John Wiley and Sons. Fukunaga, K. 1990. Introduction to Statistical Pattern Recognition. Harcourt Brace Jovanovich. Grimson, W., Lozano-P rez, T., Wells, W., et al. 1994. An Automatic Registration Method e for Frameless Stereotaxy, Image Guided Surgery, and Enhanced Realigy Visualization. In Proceedings of the Computer Society Conference on Computer Vision and Pattern Recognition, Seattle, WA. IEEE. Haykin, S. 1994. Neural Networks: A comprehensive foundation. Macmillan College Publishing. Hill, D. L., Studholme, C., and Hawkes, D. J. 1994. Voxel Similarity Measures for Automated Image Registration. In Proceedings of the Third Conference on Visualization in Biomedical Computing, pages 205 216. SPIE. Horn, B. 1986. Robot Vision. McGraw-Hill, New York. Huttenlocher, D., Kedem, K., Sharir, K., and Sharir, M. 1991. The Upper Envelope of Voronoi Surfaces and its Applications. In Proceedings of the Seventh ACM Symposium on Computational Geometry, pages 194 293. Intrator, N. and Cooper, L. N. 1992. Objective function formulation of the bcm theory of visual cortical plasticity: Statistical connections, stability conditions. Neural Networks, 5:3 17. Jacobs, R., Jordan, M., Nowlan, S., and Hinton, G. 1991. Adaptive mixtures of local experts. Neural Computation, 31:79 87. Jones, M. and Poggio, T. 1995. Model-based matching of line drawings by linear combinations of prototypes. Proceedings of the International Conference on Computer Vision. Kirkpatrick, S., Gelatt, C., and Vecchi, M. 1983. Optimization by Simulated Annealing. Science, 2204598:671 680. 154 BIBLIOGRAPHY AI-TR 1548 Leclerc, Y. 1988. Constructing simple stable descriptions for image partitioning. Proceedings Image Understanding Workshop, 1:365 382. Linsker, R. 1986. From basic network principles to neural architecture. Proceedings of the National Academy of Sciences, USA, 83:7508 7512, 8390 8394, 8779 8783. Linsker, R. 1988. Self-organization in a perceptual network. IEEE Computer, pages 105 117. Ljung, L. and Soderstrom, T. 1983. Theory and Practice of Recursive Identi cation. MIT Press. Lowe, D. 1985. Perceptual Organization and Visual Recognition. Kluwer Academic Publishers. M. Tincher, C. R. M...
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