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    NIPS
    1998
    156views Information Technology» more  NIPS 1998»
    Learning Nonlinear Dynamical Systems Using an EM Algorithm
    13 years 9 months ago
    Learning Nonlinear Dynamical Systems Using an EM Algorithm
    Download  www.cs.nyu.edu
    The Expectation Maximization EM algorithm is an iterative procedure for maximum likelihood parameter estimation from data sets with missing or hidden variables 2 . It has been app...
    Zoubin Ghahramani, Sam T. Roweis
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    IJAR
    2008
    161views more  IJAR 2008»
    Bayesian learning for a class of priors with prescribed marginals
    13 years 8 months ago
    Bayesian learning for a class of priors with prescribed marginals
    Download  www.stat.uni-muenchen.de
    We present Bayesian updating of an imprecise probability measure, represented by a class of precise multidimensional probability measures. Choice and analysis of our class are mot...
    Hermann Held, Thomas Augustin, Elmar Kriegler
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    KDD
    2010
    ACM
    274views Data Mining» more  KDD 2010»
    Grafting-light: fast, incremental feature selection and structure learning of Markov random fields
    14 years 1 days ago
    Grafting-light: fast, incremental feature selection and structure learning of Markov random fields
    Download  www.cs.cmu.edu
    Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...
    Jun Zhu, Ni Lao, Eric P. Xing
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    IPMI
    2009
    Springer
    202views Medical Imaging» more  IPMI 2009»
    Fully-Automated White Matter Hyperintensity Detection With Anatomical Prior Knowledge and Without FLAIR
    14 years 9 months ago
    Fully-Automated White Matter Hyperintensity Detection With Anatomical Prior Knowledge and Without FLAIR
    Download  rope.ucdavis.edu
    This paper presents a method for detection of cerebral white matter hyperintensities (WMH) based on run-time PD-, T1-, and T2weighted structural magnetic resonance (MR) images of t...
    Charles DeCarli, Christopher Schwarz, Evan Fletche...
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    ICPR
    2004
    IEEE
    292views computer vision» more  ICPR 2004»
    A Hybrid Face Recognition Method using Markov Random Fields
    14 years 9 months ago
    A Hybrid Face Recognition Method using Markov Random Fields
    Download  cbim.rutgers.edu
    We propose a hybrid face recognition method that combines holistic and feature analysis-based approaches using a Markov random field (MRF) model. The face images are divided into ...
    Dimitris N. Metaxas, Rui Huang, Vladimir Pavlovic
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