Path Integrals, Bayesian Vision, and Is Gaussian Quadrature Really Good?
Peter J. FreydPublished in: CTCS (1999)
Keyphrases
- maximum likelihood
- computer vision
- shortest path
- image processing
- real time
- image prior
- fourier transform
- gaussian noise
- bayesian networks
- gaussian mixture model
- bayesian learning
- rotation invariant
- endpoints
- expectation propagation
- amplitude modulation
- gaussian model
- optimal path
- covariance matrices
- bayesian decision
- bayesian methods
- gaussian processes
- posterior distribution
- bayesian inference
- gaussian distribution
- maximum entropy
- multiscale
- neural network