Quantifying effects of stochasticity in reference frame transformations on posterior distributions.
Hooman AlikhanianSchubert R. CarvalhoGunnar BlohmPublished in: Frontiers Comput. Neurosci. (2015)
Keyphrases
- reference frame
- posterior distribution
- probability distribution
- motion estimation
- latent variables
- bayesian framework
- motion vectors
- parameter estimation
- inter frame
- maximum a posteriori
- posterior probability
- bayesian networks
- hyperparameters
- expectation maximization
- multiscale
- cross validation
- level set
- co occurrence
- data structure
- computer vision
- markov chain monte carlo methods