Maximum A Posteriori Inference of Random Dot Product Graphs via Conic Programming.
David WuDavid R. PalmerDaryl R. DeFordPublished in: SIAM J. Optim. (2022)
Keyphrases
- maximum a posteriori
- dot product
- conic programming
- map estimation
- markov random field
- image reconstruction
- maximum likelihood
- hyperparameters
- bayesian framework
- posterior distribution
- em algorithm
- loopy belief propagation
- similarity function
- feature space
- kernel function
- bayesian networks
- higher order
- generalized gaussian
- gaussian kernels
- energy function
- parameter estimation
- computer vision
- expectation maximization
- conditional random fields
- gaussian distribution
- latent variables
- graph cuts
- probability distribution
- image processing