Sparse High-Dimensional Matrix-Valued Graphical Model Learning from Dependent Data.
Jitendra K. TugnaitPublished in: SSP (2023)
Keyphrases
- graphical models
- high dimensional
- data points
- prior knowledge
- high dimensional data
- gaussian graphical models
- valued data
- random variables
- bayesian networks
- learning algorithm
- probability distribution
- reinforcement learning
- low dimensional
- image sequences
- image segmentation
- conditional random fields
- belief propagation
- input space
- approximate inference
- image processing