A parametric model and Maximum Likelihood estimation of neural rate functions.
Scott MonkHarry LeibPublished in: CCECE (2012)
Keyphrases
- maximum likelihood estimation
- parametric models
- maximum likelihood
- em algorithm
- expectation maximization
- probability distribution
- parameter estimation
- boltzmann machine
- density function
- mixture of gaussians
- computer vision
- multivariate gaussian
- flow field
- higher order
- unsupervised learning
- least squares
- machine learning