The Variational Gaussian Approximation Revisited.
Manfred OpperCédric ArchambeauPublished in: Neural Comput. (2009)
Keyphrases
- gaussian convolution
- series expansion
- linear computational complexity
- error bounds
- closed form
- optical flow
- free energy
- gaussian mixture model
- polynomial approximation
- maximum likelihood
- approximation algorithms
- variational approximation
- taylor series expansion
- gaussian mixture
- image segmentation
- approximation error
- sum product algorithm
- framework for image segmentation
- variational methods
- gaussian model
- em algorithm
- np hard
- special case
- support vector