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Linear Projections and Gaussian Process Reconstructions
Published on Feb 25, 20074471 Views
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Chapter list
Linear Projections and Gaussian Process00:00
Acknowledgements01:38
Linear Dimensionality Reduction01:59
Linear Reconstructions05:28
A Poor Reconstruction vs a Cool Reconstruction06:40
Reconstruction as a Regression Problem08:43
Bayesian Regression with Gaussian Process Priors09:28
Gaussian Processes as Smooth Priors Over Functions14:10
Evidence and predictive distribution16:07
Gaussian Process Latent Variable Model (GP-LVM) pt 117:06
Gaussian Process Latent Variable Model (GP-LVM) pt 217:40
The GP-LVM in action18:47
Limitations of the GP-LVM21:44
Symbiosis25:41
Digits Revisited pt 130:29
Digits Revisited pt 231:02
Swiss Roll31:37
Discussion33:07