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    ICPR
    2006
    IEEE
    108views computer vision» more  ICPR 2006»
    Multi-modal Sequential Monte Carlo for On-Line Hierarchical Graph Structure Estimation in Model-based Scene Interpretation
    14 years 5 months ago
    Multi-modal Sequential Monte Carlo for On-Line Hierarchical Graph Structure Estimation in Model-based Scene Interpretation
    Download  rcv.kaist.ac.kr
    We present a computationally efficient, on-line graph structure estimation method for model-based scene interpretation. Different scenes have different hierarchical graphical mode...
    In-So Kweon, Sungho Kim
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    ICML
    1999
    IEEE
    163views Machine Learning» more  ICML 1999»
    Monte Carlo Hidden Markov Models: Learning Non-Parametric Models of Partially Observable Stochastic Processes
    14 years 5 months ago
    Monte Carlo Hidden Markov Models: Learning Non-Parametric Models of Partially Observable Stochastic Processes
    Download  www.ri.cmu.edu
    We present a learning algorithm for non-parametric hidden Markov models with continuous state and observation spaces. All necessary probability densities are approximated using sa...
    Sebastian Thrun, John Langford, Dieter Fox
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    ICML
    2010
    IEEE
    247views Machine Learning» more  ICML 2010»
    Forgetting Counts: Constant Memory Inference for a Dependent Hierarchical Pitman-Yor Process
    13 years 5 months ago
    Forgetting Counts: Constant Memory Inference for a Dependent Hierarchical Pitman-Yor Process
    Download  www.stat.columbia.edu
    We propose a novel dependent hierarchical Pitman-Yor process model for discrete data. An incremental Monte Carlo inference procedure for this model is developed. We show that infe...
    Nicholas Bartlett, David Pfau, Frank Wood
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    AAAI
    2004
    185views Intelligent Agents» more  AAAI 2004»
    Bayesian Inference on Principal Component Analysis Using Reversible Jump Markov Chain Monte Carlo
    13 years 6 months ago
    Bayesian Inference on Principal Component Analysis Using Reversible Jump Markov Chain Monte Carlo
    Download  www.aaai.org
    Based on the probabilistic reformulation of principal component analysis (PCA), we consider the problem of determining the number of principal components as a model selection prob...
    Zhihua Zhang, Kap Luk Chan, James T. Kwok, Dit-Yan...
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    BMCBI
    2004
    177views more  BMCBI 2004»
    Gapped alignment of protein sequence motifs through Monte Carlo optimization of a hidden Markov model
    13 years 4 months ago
    Gapped alignment of protein sequence motifs through Monte Carlo optimization of a hidden Markov model
    Download  www.biomedcentral.com
    Background: Certain protein families are highly conserved across distantly related organisms and belong to large and functionally diverse superfamilies. The patterns of conservati...
    Andrew F. Neuwald, Jun S. Liu
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