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Kevin P. Murphy: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. James M. Rehg, Kevin P. Murphy, Paul W. Fieguth
    Vision-Based Speaker Detection Using Bayesian Networks. [Citation Graph (0, 0)][DBLP]
    CVPR, 1999, pp:2110-2116 [Conf]
  2. Antonio B. Torralba, Kevin P. Murphy, William T. Freeman
    Sharing Features: Efficient Boosting Procedures for Multiclass Object Detection. [Citation Graph (0, 0)][DBLP]
    CVPR (2), 2004, pp:762-769 [Conf]
  3. Vladimir Pavlovic, James M. Rehg, Tat-Jen Cham, Kevin P. Murphy
    A Dynamic Bayesian Network Approach to Figure Tracking using Learned Dynamic Models. [Citation Graph (0, 0)][DBLP]
    ICCV, 1999, pp:94-101 [Conf]
  4. Antonio B. Torralba, Kevin P. Murphy, William T. Freeman, Mark A. Rubin
    Context-based vision system for place and object recognition. [Citation Graph (0, 0)][DBLP]
    ICCV, 2003, pp:273-280 [Conf]
  5. S. V. N. Vishwanathan, Nicol N. Schraudolph, Mark W. Schmidt, Kevin P. Murphy
    Accelerated training of conditional random fields with stochastic gradient methods. [Citation Graph (0, 0)][DBLP]
    ICML, 2006, pp:969-976 [Conf]
  6. John Binder, Kevin P. Murphy, Stuart J. Russell
    Space-Efficient Inference in Dynamic Probabilistic Networks. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1997, pp:1292-1296 [Conf]
  7. David B. Searls, Kevin P. Murphy
    Automata-Theoretic Models of Mutation and Alignment. [Citation Graph (0, 0)][DBLP]
    ISMB, 1995, pp:341-349 [Conf]
  8. Sohrab P. Shah, Xiang Xuan, Ronald J. deLeeuw, Mehrnoush Khojasteh, Wan L. Lam, Raymond Ng, Kevin P. Murphy
    Integrating copy number polymorphisms into array CGH analysis using a robust HMM. [Citation Graph (0, 0)][DBLP]
    ISMB (Supplement of Bioinformatics), 2006, pp:431-439 [Conf]
  9. Kevin P. Murphy
    Bayesian Map Learning in Dynamic Environments. [Citation Graph (0, 0)][DBLP]
    NIPS, 1999, pp:1015-1021 [Conf]
  10. Kevin P. Murphy, Antonio B. Torralba, William T. Freeman
    Graphical Model For Recognizing Scenes and Objects. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  11. Antonio B. Torralba, Kevin P. Murphy, William T. Freeman
    Contextual Models for Object Detection Using Boosted Random Fields. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  12. Arnaud Doucet, Nando de Freitas, Kevin P. Murphy, Stuart J. Russell
    Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks. [Citation Graph (0, 0)][DBLP]
    UAI, 2000, pp:176-183 [Conf]
  13. Nir Friedman, Kevin P. Murphy, Stuart J. Russell
    Learning the Structure of Dynamic Probabilistic Networks. [Citation Graph (0, 0)][DBLP]
    UAI, 1998, pp:139-147 [Conf]
  14. Kevin P. Murphy
    A Variational Approximation for Bayesian Networks with Discrete and Continuous Latent Variables. [Citation Graph (0, 0)][DBLP]
    UAI, 1999, pp:457-466 [Conf]
  15. Kevin P. Murphy, Yair Weiss
    The Factored Frontier Algorithm for Approximate Inference in DBNs. [Citation Graph (0, 0)][DBLP]
    UAI, 2001, pp:378-385 [Conf]
  16. Kevin P. Murphy, Yair Weiss, Michael I. Jordan
    Loopy Belief Propagation for Approximate Inference: An Empirical Study. [Citation Graph (0, 0)][DBLP]
    UAI, 1999, pp:467-475 [Conf]
  17. Kevin P. Murphy, Antonio B. Torralba, Daniel Eaton, William Freeman
    Object Detection and Localization Using Local and Global Features. [Citation Graph (0, 0)][DBLP]
    Toward Category-Level Object Recognition, 2006, pp:382-400 [Conf]
  18. Antonio B. Torralba, Kevin P. Murphy, William T. Freeman
    Shared Features for Multiclass Object Detection. [Citation Graph (0, 0)][DBLP]
    Toward Category-Level Object Recognition, 2006, pp:345-361 [Conf]
  19. Antonio B. Torralba, Kevin P. Murphy, William T. Freeman
    Sharing Visual Features for Multiclass and Multiview Object Detection. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2007, v:29, n:5, pp:854-869 [Journal]
  20. Mark W. Schmidt, Alexandru Niculescu-Mizil, Kevin P. Murphy
    Learning Graphical Model Structure Using L1-Regularization Paths. [Citation Graph (0, 0)][DBLP]
    AAAI, 2007, pp:1278-1283 [Conf]
  21. Xiang Xuan, Kevin Murphy
    Modeling changing dependency structure in multivariate time series. [Citation Graph (0, 0)][DBLP]
    ICML, 2007, pp:1055-1062 [Conf]

  22. An experimental investigation of model-based parameter optimisation: SPO and beyond. [Citation Graph (, )][DBLP]


  23. Sparse Gaussian graphical models with unknown block structure. [Citation Graph (, )][DBLP]


  24. Modeling recurrent DNA copy number alterations in array CGH data. [Citation Graph (, )][DBLP]


  25. Efficient parameter estimation for RNA secondary structure prediction. [Citation Graph (, )][DBLP]


  26. Time-Bounded Sequential Parameter Optimization. [Citation Graph (, )][DBLP]


  27. Model-based clustering of array CGH data. [Citation Graph (, )][DBLP]


  28. SNVMix: predicting single nucleotide variants from next-generation sequencing of tumors. [Citation Graph (, )][DBLP]


  29. Using the forest to see the trees: exploiting context for visual object detection and localization. [Citation Graph (, )][DBLP]


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