A novel Bayesian graphical model and perfect Monte Carlo EM algorithm for automated colocalization estimation in multichannel fluorescence microscopy.
Thyagarajan RadhakrishnanK. Krishna Harsha ReddySuyash P. AwatePublished in: ISBI (2018)
Keyphrases
- monte carlo
- graphical models
- em algorithm
- fluorescence microscopy
- expectation maximization
- maximum likelihood
- parameter estimation
- maximum likelihood estimation
- importance sampling
- probabilistic model
- approximate inference
- bayesian networks
- mixture model
- belief propagation
- posterior distribution
- density estimation
- probabilistic graphical models
- random variables
- markov chain monte carlo
- probabilistic inference
- gaussian mixture model
- generative model
- structure learning
- markov chain
- conditional random fields
- bayesian inference
- image sequences
- maximum a posteriori
- parameter learning
- posterior probability
- hidden variables
- incomplete data
- hyperparameters
- exact inference
- factor graphs
- particle filter
- belief networks
- conditional independence
- message passing
- probability density function
- log likelihood
- sample size
- probability distribution
- latent variables
- reinforcement learning
- computer vision