Guy Lebanon - Selected Papers

2005

  •  
    G. Lebanon
    Metric Learning for Text Documents
    IEEE Transactions on Pattern Analysis and Machine Intelligence
    (submitted, pending revisions)
  •  
    G. Lebanon
    Axiomatic Geometry of Conditional Models
    IEEE Transactions on Information Theory 51(4):1283-1294, April 2005
    [link]
  •  
    J. Lafferty and G. Lebanon
    Diffusion Kernels on Statistical Manifolds
    Journal of Machine Learning Research 6:129-163, January 2005
    [link]
  •  
    G. Lebanon
    Riemannian Geometry and Statistical Machine Learning
    PhD Thesis
    Technical Report CMU-LTI-05-189
    [link]

2004

  •  
    G. Lebanon
    An Extended Čencov-Campbell Characterization of Conditional Information Geometry
    Proc. of the 20th Conference on Uncertainty in Artificial Intelligence
    [pdf]
  •  
    G. Lebanon and J. Lafferty
    Hyperplane Margin Classifiers on the Multinomial Manifold
    Proc. of the 21st International Conference on Machine Learning
    [pdf]

2003

  •  
    G. Lebanon
    Learning Riemannian Metrics
    Proc. of the 19th Conference on Uncertainty in Artificial Intelligence
    [pdf]
  •  
    G. Lebanon
    Computing the Volume Element of a Family of Metrics on the Multinomial Simplex
    Technical Report CMU-CS-03-145
    [link]
  •  
    G. Lebanon and J. Lafferty
    Conditional Models on the Ranking Poset
    Advances in Neural Information Processing Systems 15 
    [pdf]
  •  
     J. Lafferty and G. Lebanon
    Information Diffusion Kernels
    Advances in Neural Information Processing Systems 15
    [pdf]

2002

  •  
    G. Lebanon and J. Lafferty
    Cranking: Combining Rankings using Conditional Probability Models on Permutations
    Proc. of the 19th International Conference on Machine Learning 
    [pdf]
  •  
    G. Lebanon and J. Lafferty
    Boosting and Maximum Likelihood for Exponential Models
    Advances in Neural Information Processing Systems 14
    [pdf]

2001

  •  
    G. Lebanon and J. Lafferty
    Boosting and Maximum Likelihood for Exponential Models
    Technical Report CMU-CS-01-144
    [link]

  • G. Lebanon and A. Bruckstein
    Variational Approach to Moiré Pattern Synthesis
    Journal of the Optical Society of America A 18(6):1371-1382, June 2001.
    [pdf, link]
  •  
    G. Lebanon and A. Bruckstein
    Designing Moiré Patterns
    Energy Minimization Methods in Computer Vision and Pattern Recognition
    Lecture Notes in Computer Science Vol. 2134, Springer, 2001.
    [link]


Last updated: April 2005, Guy Lebanon.