Publications, Brendan J. Frey
(Updated Dec 2001)

• B. J. Frey and N. Jojic 2000. Transformation-invariant clustering and dimensionality reduction. Submitted to IEEE Transactions on Pattern Analysis and Machine Intelligence, Nov. 2000.
  
  
• B. J. Frey, R. Patrascu, T. Jaakkola and J. Moran 2000. `Sequentially fitting "inclusive" trees for inference in noisy-OR networks'. Presented at Neural Information Processing Systems Conference, Nov 2000, Denver, CO. In Advances in Neural Information Processing Systems 13, MIT Press: Cambridge, MA, 2000.
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• B. J. Frey and A. Kannan 2000. `Accumulator networks: Suitors of local probability propagation'. Presented at Neural Information Processing Systems Conference, Nov 2000, Denver, CO. In Advances in Neural Information Processing Systems 13, MIT Press: Cambridge, MA, 2000.
  Postscript || Compressed postscript || Portable Document Format
  
  
• N. Jojic, P. Simard, B. J. Frey and D. Heckerman 2001. `Learning mixtures of smooth, nonuniform deformation models for probabilistic image matching'. Presentated at the Eighth International Workshop on Artificial Intelligence and Statistics, Jan 2001, Key West, FL.
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• B. J. Frey 2000. `Knowing when to stop'. Presented at 38th Allerton Conference on Communication, Control and Computing, Oct 2000, Monticello, IL. In Proceedings of the 38th Allerton Conference on Communication, Control and Computing, UIUC Press: Champaign-Urbana IL, 2001.
  Postscript || Compressed postscript || Portable Document Format
  
  
• F. R. Kschischang, B. J. Frey and H.-A. Loeliger 2001. Factor graphs and the sum-product algorithm. IEEE Transactions on Information Theory 47:2, February, 498-519.
  
  
• B. J. Frey, R. Koetter and A. Vardy 2001. Signal space characterization of iterative decoding. IEEE Transactions on Information Theory 47:2, February, 766-781.
  
  
• B. Frey and N. Jojic 2000. Learning graphical models of images, videos and their spatial transformations. In Proceedings of the Sixteenth Conference on Uncertainty in Artificial Intelligence, Morgan Kaufmann, San Francisco, CA.
  
  
• N. Jojic, N. Petrovic, B. J. Frey and T. S. Huang 2000. Transformed hidden Markov models: Estimating mixture models of images and inferring spatial transformations in video sequences. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition 2000, IEEE Computer Society Press, Los Alamatos, CA.
  SEE THE VIDEOS (AVI FORMAT): Test sequence, Stabilized sequence, Continued sequence, Processing a noisy sequence, Distraction removal!
  
  
• N. Jojic and B. J. Frey 2000. Topographic transformation as a discrete latent variable. In S. A. Solla, T. K. Leen and K.-R. Muller (eds) Advances in Neural Information Processing Systems 12, MIT Press, Cambridge, MA.
  
  
• B. J. Frey and D. J. C. MacKay 2000. Irregular turbocodes. In Proceedings of the 37th Allerton Conference on Communication, Control and Computing 1999, Allerton House, Illinois.
  
  
• B. J. Frey and N. Jojic 1999. Transformed component analysis: Joint estimation of spatial transformations and image components. In Proceedings of the IEEE International Conference on Computer Vision 1999, Kerkyra, Greece, Sep 20-25. IEEE Computer Society Press: Los Alamitos, CA.
  
  
• B. J. Frey and N. Jojic 1999. Estimating mixture models of images and inferring spatial transformations using the EM algorithm. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition 1999, Ft. Collins, CO. IEEE Computer Society Press: Los Alamitos, CA.
  
  
• B. J. Frey and G. E. Hinton 1999. Variational learning in nonlinear Gaussian belief networks. Neural Computation 11:1, 193-214.
  
  
• A. Colmenarez, B. J. Frey and T. S. Huang 1999. A probabilistic framework for embedded face and facial expression recognition In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition 1999, June 23-25, Ft. Collins, CO. IEEE Computer Society Press: Los Alamitos, CA.
  
  
• B. J. Frey 1999. Factor analysis using batch and online EM. Internal UW/CS Adaptive Computation TR-99-2, Aug 11, 1999.
  
  
• C. S. Potter, H. Chu, B. J. Frey, C. Green, N. Kisseberth, T. J. Madden, K. L. Miller, K. Nahrstedt, J. Pulokas, A. Reilein, D. Tcheng, D. Weber and B. Carragher 1999. Leginon: A system for fully automated acquisition of 1000 electron micrographs per day. Ultramicroscopy 77, 153-161.
  
  
• B. J. Frey 1998. Graphical Models for Machine Learning and Digital Communication. MIT Press: Cambridge, MA.
  
  
• B. J. Frey and D. J. C. MacKay 1998. A revolution: Belief propagation in graphs with cycles. In Advances in Neural Information Processing Systems 10. MIT Press: Cambridge, MA.
  
  
• B. J. Frey and D. J. C. MacKay 1998. Trellis-constrained codes. In Proceedings of the 35th Allerton Conference on Communication, Control and Computing 1997, Champaign-Urbana, Illinois.
  
  
• B. J. Frey, N. Lawrence and C. M. Bishop 1998. Markovian inference in belief networks. Presented at Learning, Machines that Learn or what some people call Snowbird, Snowbird, Utah, April, 1998.
  
  
• B. J. Frey, A. Colmenarez and T. S. Huang 1998. Mixtures of local linear subspaces for face recognition. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition 1998. IEEE Computer Society Press: Los Alamitos, CA.
  
  
• F. R. Kschischang and B. J. Frey 1998. Iterative decoding of compound codes by probability propagation in graphical models. IEEE Journal on Selected Areas in Communications 16, 219-230.
  
  
• B. J. Frey and F. R. Kschischang 1998. Early-Detection and Trellis Splicing: Reduced-Complexity Iterative Decoding. IEEE Journal on Selected Areas in Communications 16, 153-160.
  
  
• B. J. Frey and G. E. Hinton 1997. Efficient stochastic source coding and an application to a Bayesian network source model. The Computer Journal 40, 157-165.
  
  
• B. J. Frey 1997. Continuous sigmoidal belief networks trained using slice sampling. In Advances in Neural Information Processing Systems 9. MIT Press: Cambridge, MA.
  
  
• B. J. Frey, P. Dayan and G. E. Hinton 1997. A simple algorithm that discovers efficient perceptual codes. In M. Jenkin and L. R. Harris (editors), Computational and Psychophysical Mechanisms of Visual Coding. Cambridge University Press: New York, NY.
  
  
• B. J. Frey, G. E. Hinton and P. Dayan 1996. Does the wake-sleep algorithm produce good density estimators?. In Advances in Neural Information Processing Systems 8. MIT Press: Cambridge, MA.
  
  
• G. E. Hinton, P. Dayan, B. J. Frey and R. M Neal 1995. The wake-sleep algorithm for unsupervised neural networks. Science 268, 1158-1161.