Christian Plagemann

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研究焦点

主要成就

代表论文

1. 1
   Most likely heteroscedastic Gaussian process regression

   313 次引用 · 2007
2. 2
   Modeling RFID signal strength and tag detection for localization and mapping

   132 次引用 · 2009
3. 3
   Nonstationary Gaussian Process Regression Using Point Estimates of Local Smoothness

   94 次引用 · 2008
4. 4
   Learning gas distribution models using sparse Gaussian process mixtures

   92 次引用 · 2009
5. 5
   Learning predictive terrain models for legged robot locomotion

   81 次引用 · 2008
6. 6
   Adaptive Non-Stationary Kernel Regression for Terrain Modeling

   79 次引用 · 2007
7. 7
   Unsupervised discovery of object classes from range data using latent Dirichlet allocation

   71 次引用 · 2009
8. 8
   Body schema learning for robotic manipulators from visual self-perception

   53 次引用 · 2009
9. 9
   Gaussian Beam Processes: A Nonparametric Bayesian Measurement Model for Range Finders

   49 次引用 · 2007
10. 10
    Efficient failure detection on mobile robots using particle filters with Gaussian process proposals

    49 次引用 · 2007

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