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Christopher M. Bishop: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Julia A. Lasserre, Christopher M. Bishop, Thomas P. Minka
    Principled Hybrids of Generative and Discriminative Models. [Citation Graph (0, 0)][DBLP]
    CVPR (1), 2006, pp:87-94 [Conf]
  2. Ilkay Ulusoy, Christopher M. Bishop
    Generative versus Discriminative Methods for Object Recognition. [Citation Graph (0, 0)][DBLP]
    CVPR (2), 2005, pp:258-265 [Conf]
  3. Christopher M. Bishop, Ilkay Ulusoy
    Object Recognition via Local Patch Labelling. [Citation Graph (0, 0)][DBLP]
    Deterministic and Statistical Methods in Machine Learning, 2004, pp:1-21 [Conf]
  4. Christopher M. Bishop, John M. Winn
    Non-linear Bayesian Image Modelling. [Citation Graph (0, 0)][DBLP]
    ECCV (1), 2000, pp:3-17 [Conf]
  5. Christopher M. Bishop, Markus Svensén
    Robust Bayesian Mixture Modelling. [Citation Graph (0, 0)][DBLP]
    ESANN, 2004, pp:69-74 [Conf]
  6. Antony I. T. Rowstron, Neil D. Lawrence, Christopher M. Bishop
    Probabilistic Modelling of Replica Divergence. [Citation Graph (0, 0)][DBLP]
    HotOS, 2001, pp:55-60 [Conf]
  7. Christopher M. Bishop, Cazhaow S. Quazaz
    Bayesian Inference of Noise Levels in Regression. [Citation Graph (0, 0)][DBLP]
    ICANN, 1996, pp:59-64 [Conf]
  8. Christopher M. Bishop, Markus Svensén, Christopher K. I. Williams
    GTM: A Principled Alternative to the Self-Organizing Map. [Citation Graph (0, 0)][DBLP]
    ICANN, 1996, pp:165-170 [Conf]
  9. Mark Everingham, Andrew Zisserman, Christopher K. I. Williams, Luc J. Van Gool, Moray Allan, Christopher M. Bishop, Olivier Chapelle, Navneet Dalal, Thomas Deselaers, Gyuri Dorkó, Stefan Duffner, Jan Eichhorn, Jason D. R. Farquhar, Mario Fritz, Christophe Garcia, Tom Griffiths, Frédéric Jurie, Daniel Keysers, Markus Koskela, Jorma Laaksonen, Diane Larlus, Bastian Leibe, Hongying Meng, Hermann Ney, Bernt Schiele, Cordelia Schmid, Edgar Seemann, John Shawe-Taylor, Amos J. Storkey, Sándor Szedmák, Bill Triggs, Ilkay Ulusoy, Ville Viitaniemi, Jianguo Zhang
    The 2005 PASCAL Visual Object Classes Challenge. [Citation Graph (0, 0)][DBLP]
    MLCW, 2005, pp:117-176 [Conf]
  10. David Barber, Christopher M. Bishop
    Bayesian Model Comparison by Monte Carlo Chaining. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:333-339 [Conf]
  11. David Barber, Christopher M. Bishop
    Ensemble Learning for Multi-Layer Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1997, pp:- [Conf]
  12. Christopher M. Bishop
    Real-Time Control of a Tokamak Plasma Using Neural Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:1007-1014 [Conf]
  13. Christopher M. Bishop
    Bayesian PCA. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:382-388 [Conf]
  14. Christopher M. Bishop, Claire Legleye
    Estimating Conditional Probability Densities for Periodic Variables. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:641-648 [Conf]
  15. Christopher M. Bishop, Neil D. Lawrence, Tommi Jaakkola, Michael I. Jordan
    Approximating Posterior Distributions in Belief Networks Using Mixtures. [Citation Graph (0, 0)][DBLP]
    NIPS, 1997, pp:- [Conf]
  16. Christopher M. Bishop, Cazhaow S. Quazaz
    Regression with Input-Dependent Noise: A Bayesian Treatment. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:347-353 [Conf]
  17. Christopher M. Bishop, David J. Spiegelhalter, John M. Winn
    VIBES: A Variational Inference Engine for Bayesian Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 2002, pp:777-784 [Conf]
  18. Christopher M. Bishop, Markus Svensén, Christopher K. I. Williams
    EM Optimization of Latent-Variables Density Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 1995, pp:465-471 [Conf]
  19. Christopher M. Bishop, Markus Svensén, Christopher K. I. Williams
    GTM: A Principled Alternative to the Self-Organizing Map. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:354-360 [Conf]
  20. Paul W. Goldberg, Christopher K. I. Williams, Christopher M. Bishop
    Regression with Input-dependent Noise: A Gaussian Process Treatment. [Citation Graph (0, 0)][DBLP]
    NIPS, 1997, pp:- [Conf]
  21. Neil D. Lawrence, Antony I. T. Rowstron, Christopher M. Bishop, M. J. Taylor
    Optimising Synchronisation Times for Mobile Devices. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1401-1408 [Conf]
  22. Michael E. Tipping, Christopher M. Bishop
    Bayesian Image Super-Resolution. [Citation Graph (0, 0)][DBLP]
    NIPS, 2002, pp:1279-1286 [Conf]
  23. Christopher M. Bishop, Markus Svensén
    Bayesian Hierarchical Mixtures of Experts. [Citation Graph (0, 0)][DBLP]
    UAI, 2003, pp:57-64 [Conf]
  24. Christopher M. Bishop, Michael E. Tipping
    Variational Relevance Vector Machines. [Citation Graph (0, 0)][DBLP]
    UAI, 2000, pp:46-53 [Conf]
  25. Neil D. Lawrence, Christopher M. Bishop, Michael I. Jordan
    Mixture Representations for Inference and Learning in Boltzmann Machines. [Citation Graph (0, 0)][DBLP]
    UAI, 1998, pp:320-327 [Conf]
  26. Ilkay Ulusoy, Christopher M. Bishop
    Comparison of Generative and Discriminative Techniques for Object Detection and Classification. [Citation Graph (0, 0)][DBLP]
    Toward Category-Level Object Recognition, 2006, pp:173-195 [Conf]
  27. Michael I. Jordan, Christopher M. Bishop
    Neural Networks. [Citation Graph (0, 0)][DBLP]
    ACM Comput. Surv., 1996, v:28, n:1, pp:73-75 [Journal]
  28. Christopher M. Bishop
    A Fast Procedure for Retraining the Multilayer Perceptron. [Citation Graph (0, 0)][DBLP]
    Int. J. Neural Syst., 1991, v:2, n:3, pp:229-236 [Journal]
  29. Christopher M. Bishop, Markus Svensén, Christopher K. I. Williams
    Developments of the generative topographic mapping. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 1998, v:21, n:1-3, pp:203-224 [Journal]
  30. Markus Svensén, Christopher M. Bishop
    Robust Bayesian mixture modelling. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2005, v:64, n:, pp:235-252 [Journal]
  31. Christopher M. Bishop
    Bayesian Neural Networks. [Citation Graph (0, 0)][DBLP]
    J. Braz. Comp. Soc., 1997, v:4, n:1, pp:- [Journal]
  32. John M. Winn, Christopher M. Bishop
    Variational Message Passing. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2005, v:6, n:, pp:661-694 [Journal]
  33. Dan Cornford, Ian T. Nabney, Christopher M. Bishop
    Neural Network-Based Wind Vector Retrieval from Satellite Scatterometer Data. [Citation Graph (0, 0)][DBLP]
    Neural Computing and Applications, 1999, v:8, n:3, pp:206-217 [Journal]
  34. Christopher M. Bishop, Paul S. Haynes, Mike E. U. Smith, Tom N. Todd, David L. Trotman
    Fast Feedback Control of a High Temperature Fusion Plasma. [Citation Graph (0, 0)][DBLP]
    Neural Computing and Applications, 1994, v:2, n:3, pp:148-159 [Journal]
  35. Christopher M. Bishop, Iain Strachan, John O'Rourke, Geoff Maddison, Paul Thomas
    Reconstruction of Tokamak Density Profiles Using Feedforward Networks. [Citation Graph (0, 0)][DBLP]
    Neural Computing and Applications, 1993, v:1, n:1, pp:4-16 [Journal]
  36. Christopher M. Bishop, Markus Svensén, Christopher K. I. Williams
    GTM: The Generative Topographic Mapping. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 1998, v:10, n:1, pp:215-234 [Journal]
  37. Michael E. Tipping, Christopher M. Bishop
    Mixtures of Probabilistic Principal Component Analysers. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 1999, v:11, n:2, pp:443-482 [Journal]
  38. Christopher M. Bishop, Michael E. Tipping
    A Hierarchical Latent Variable Model for Data Visualization. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 1998, v:20, n:3, pp:281-293 [Journal]
  39. Boaz Lerner, W. F. Clocksin, S. Dhanjal, M. A. Hulten, Christopher M. Bishop
    Feature representation and signal classification in fluorescence in-situ hybridization image analysis. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part A, 2001, v:31, n:6, pp:655-665 [Journal]

  40. A New Framework for Machine Learning. [Citation Graph (, )][DBLP]


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