Markov Random Field Function minimized by Stochastic Gradient Descent.
Luis Rogelio Román RiveraJesús Carlos Pedraza OrtegaMarco Antonio Aceves-FernándezJuan Manuel Ramos ArreguínEfrén Gorrostieta HurtadoJosé Emilio Vargas SotoPublished in: CCE (2019)
Keyphrases
- markov random field
- stochastic gradient descent
- belief propagation
- higher order
- graph cuts
- mrf model
- parameter estimation
- image segmentation
- maximum a posteriori
- pairwise
- energy function
- image restoration
- message passing
- loss function
- step size
- matrix factorization
- weight vector
- least squares
- regularization parameter
- conditional random fields
- stereo matching
- support vector
- genetic algorithm
- semi supervised
- image reconstruction
- random forests
- multiple kernel learning