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dliu library [19 articles]

Статьи, недавно добавленные в библиотеку dliu .
  • Kernel and Nonlinear Canonical Correlation Analysis Pei Ling Lai, University of Paisley Colin Fyfe, University of Paisley
    posted to no-tag by dliu on 2005-07-18 21:22:41 as ***
  • Canonical correlation analysis
    posted to no-tag by dliu on 2005-07-18 02:19:33 as **
  • 10.4 Downhill Simplex Method in Multidimensions (Numerical Recipes in C)
    posted to no-tag by dliu on 2005-07-18 01:15:36 as ***
  • On registration of regions of interest (ROI) in video sequences
    Proceedings. IEEE Conference on Advanced Video and Signal Based Surveillance, 2003. (2003), pp. 313-318.
    by Hua-Mei Chen, PK Varshney, MA Slamani
    posted to information mutual by dliu on 2005-07-18 01:05:09 as ****
  • The Earth Mover's Distance as a Metric for Image Retrieval
    Int. J. Comput. Vision, Vol. 40, No. 2. (November 2000), pp. 99-121.
    by Yossi Rubner, Carlo Tomasi, Leonidas J Guibas
  • A Probabilistic Framework for Edge Detection and Scale Selection
    posted to no-tag by dliu on 2005-07-14 05:00:25 as **
  • notes Mutual Information Maximization: Models of Cortical Self-Organization by Sue Becker, McMaster Canada
    posted to no-tag by dliu on 2005-07-13 20:57:38 as **
  • notes Citations: Self-organizing neural network that discovers surfaces in random-dot stereograms - Becker, Hinton (ResearchIndex)
    posted to no-tag by dliu on 2005-07-13 19:26:02 as ***
  • Structural Extension to Logistic Regression:
    by Discriminative P Learning
    posted to no-tag by dliu on 2005-07-13 16:46:34 as *
  • Bayesian Network Classifiers
    Machine Learning, Vol. 29, No. 2-3. (1997), pp. 131-163.
    by Nir Friedman, Dan Geiger, Moises Goldszmidt
  • (Tangent distance) Efficient pattern recognition using a new transformation distance
    posted to no-tag by dliu on 2005-07-08 18:09:37 as ****
  • Unsupervised learning of visual structure
    kybele.psych.cornell.edu/~edelman/bmcv02longer.pdf
    posted to no-tag by dliu on 2005-07-08 09:22:20 as *****
  • David MacKay: Information Theory, Pattern Recognition and Neural Networks: The Book
    posted to no-tag by dliu on 2005-07-08 04:22:21 as ****
  • Bayesian Methods for Mixtures of Experts
    Vol. 8 (1996), pp. 351-357.
    by Steve Waterhouse, David Mackay, Tony Robinson
    edited by David S Touretzky, Michael C Mozer, Michael E Hasselmo
    posted to avoids bayesian overfitting by dliu on 2005-07-08 04:20:10 as ***
  • Mean field theory for sigmoid belief networks
    Journal of Artificial Intelligence Research, Vol. 4 (1996), pp. 61-76.
    by Lawrence K Saul, Tommi Jaakkola, Michael I Jordan
    posted to no-tag by dliu on 2005-07-08 03:47:43 as **
  • A technique for painless derivation of kalman filtering recursions
    posted to no-tag by dliu on 2005-07-08 03:08:48 as **
  • Inference in belief networks: A procedural guide
    posted to no-tag by dliu on 2005-07-08 03:07:50 as **
  • Markov chain Monte Carlo and related topics
    (1999)
    by J Liu
    posted to no-tag by dliu on 2005-07-08 03:05:55 as **
  • MERL – TR2001-022 – Understanding Belief Propagation and its Generalizations
    posted to no-tag by dliu on 2005-07-08 03:05:41 as **
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