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Alexander T. Ihler: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Erik B. Sudderth, Alexander T. Ihler, William T. Freeman, Alan S. Willsky
    Nonparametric Belief Propagation. [Citation Graph (0, 0)][DBLP]
    CVPR (1), 2003, pp:605-612 [Conf]
  2. Alexander T. Ihler, John W. Fisher III, Randolph L. Moses, Alan S. Willsky
    Nonparametric belief propagation for self-calibration in sensor networks. [Citation Graph (0, 0)][DBLP]
    IPSN, 2004, pp:225-233 [Conf]
  3. Alexander T. Ihler, John W. Fisher III, Alan S. Willsky
    Hypothesis Testing over Factorizations for Data Association. [Citation Graph (0, 0)][DBLP]
    IPSN, 2003, pp:239-253 [Conf]
  4. Alexander T. Ihler, Jon Hutchins, Padhraic Smyth
    Adaptive event detection with time-varying poisson processes. [Citation Graph (0, 0)][DBLP]
    KDD, 2006, pp:207-216 [Conf]
  5. John W. Fisher III, Alexander T. Ihler, Paul A. Viola
    Learning Informative Statistics: A Nonparametnic Approach. [Citation Graph (0, 0)][DBLP]
    NIPS, 1999, pp:900-906 [Conf]
  6. Alexander T. Ihler, John W. Fisher III, Alan S. Willsky
    Message Errors in Belief Propagation. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  7. Alexander T. Ihler, Erik B. Sudderth, William T. Freeman, Alan S. Willsky
    Efficient Multiscale Sampling from Products of Gaussian Mixtures. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  8. Alexander T. Ihler, John W. Fisher III, Alan S. Willsky
    Loopy Belief Propagation: Convergence and Effects of Message Errors. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2005, v:6, n:, pp:905-936 [Journal]
  9. Alexander T. Ihler, Padhraic Smyth
    Learning Time-Intensity Profiles of Human Activity using Non-Parametric Bayesian Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:625-632 [Conf]

  10. Particle Filtered MCMC-MLE with Connections to Contrastive Divergence. [Citation Graph (, )][DBLP]


  11. Fast collapsed gibbs sampling for latent dirichlet allocation. [Citation Graph (, )][DBLP]


  12. Probabilistic Analysis of a Large-Scale Urban Traffic Sensor Data Set. [Citation Graph (, )][DBLP]


  13. Efficient Bayesian Inference for Dynamically Changing Graphs. [Citation Graph (, )][DBLP]


  14. Adaptive inference on general graphical models. [Citation Graph (, )][DBLP]


  15. Bayesian detection of non-sinusoidal periodic patterns in circadian expression data. [Citation Graph (, )][DBLP]


  16. Estimating replicate time shifts using Gaussian process regression. [Citation Graph (, )][DBLP]


  17. A Low Density Lattice Decoder via Non-Parametric Belief Propagation [Citation Graph (, )][DBLP]


  18. Distributed Fault Identification via Non-parametric Belief Propagation [Citation Graph (, )][DBLP]


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