Linear Projections and Gaussian Process Reconstructions

Posted in Science on August 23, 2008


Linear Projections and Gaussian Process Reconstructions

Lecture slides:

  • Linear Projections and Gaussian Process
  • Acknowledgements
  • Linear Dimensionality Reduction
  • Linear Reconstructions
  • A Poor Reconstruction vs a Cool Reconstruction
  • Reconstruction as a Regression Problem
  • Bayesian Regression with Gaussian Process Priors
  • Gaussian Processes as Smooth Priors Over Functions
  • Evidence and predictive distribution
  • Gaussian Process Latent Variable Model (GP-LVM) pt 1
  • Gaussian Process Latent Variable Model (GP-LVM) pt 2
  • The GP-LVM in action
  • Limitations of the GP-LVM
  • Symbiosis
  • Digits Revisited pt 1
  • Digits Revisited pt 2
  • Swiss Roll
  • Discussion

Author: Joaquin Quiñonero Candela, Max Planck Institute For Biological Cybernetics

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Tags: Science, Lectures, Computer Science, Machine Learning, VideoLectures.Net, Gaussian Processes