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jekky graphical-model [14 articles]

Recent papers added to jekky library classified by the tag graphical-model. You can also see everyone's graphical-model.
  • Bayesian feature and model selection for Gaussian mixture models
    Transactions on Pattern Analysis and Machine Intelligence, Vol. 28, No. 6. (2006), pp. 1013-1018.
    posted to graphical-model metric-learning mixture-model toread by jekky on 2008-01-12 14:38:51 as *****
  • Simultaneous feature selection and clustering using mixture models
    Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 26, No. 9. (2004), pp. 1154-1166.
    by MHC Law, MAT Figueiredo, AK Jain
  • An Introduction to Variational Methods for Graphical Models
    Machine Learning, Vol. 37 (1999), pp. 183-233.
    by Michael I Jordan, Zoubin Ghahramani, Tommi S Jaakkola, Lawrence Saul
    edited by David Heckerman
    posted to graphical-model toread tutorial variational-method by jekky on 2007-12-05 03:30:58 as *****
  • Bayesian Sets
    (2005)
  • A Simple Bayesian Framework for Content-Based Image Retrieval
    (2006), pp. 2110-2117.
    by Katherine A Heller, Zoubin Ghahramani
  • The Layout Consistent Random Field for Recognizing and Segmenting Partially Occluded Objects
    Computer Vision and Pattern Recognition, 2006 IEEE Computer Society Conference on, Vol. 1 (2006), pp. 37-44.
    by J Winn, J Shotton
  • Located Hidden Random Fields: Learning Discriminative Parts for Object Detection
    Vol. 3 (2006)
    by Ashish Kapoor, John Winn
  • Object categorization by learned universal visual dictionary
    Computer Vision, 2005. ICCV 2005. Tenth IEEE International Conference on, Vol. 2 (2005), pp. 1800-1807 Vol. 2.
    by J Winn, A Criminisi, T Minka
  • LOCUS: learning object classes with unsupervised segmentation
    Computer Vision, 2005. ICCV 2005. Tenth IEEE International Conference on, Vol. 1 (2005), pp. 756-763 Vol. 1.
    by J Winn, N Jojic
  • Modeling annotated data
    (2003), pp. 127-134.
    by David M Blei, Michael I Jordan
  • Clustering Appearance and Shape by Learning Jigsaws
    Vol. 19 (2006)
    by Anitha Kannan, John Winn, Carsten Rother
  • Markov random field modeling in image analysis
    (2001)
    by Stan Z Li
  • Latent Dirichlet allocation
    (2002)
    by D Blei, A Ng, M Jordan
  • Probabilistic Latent Semantic Analysis
    (1999)
    by Thomas Hofmann
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