A Unified Formulation of Gaussian Versus Sparse Stochastic Processes - Part I: Continuous-Domain Theory.
Michael UnserPouya Dehghani TaftiQiyu SunPublished in: IEEE Trans. Inf. Theory (2014)
Keyphrases
- stochastic processes
- domain theory
- stochastic process
- explanation based learning
- domain knowledge
- inductive learning
- probability distribution
- random fields
- background knowledge
- random variables
- dynamic bayesian networks
- training examples
- sparse representation
- maximum likelihood
- case base
- high dimensional
- image processing
- prior knowledge