Sparse Stochastic Processes and Discretization of Linear Inverse Problems

Emrah Bostan Ulugbek Kamilov Masih Nilchian Michael Unser

Published in: CoRR (2012)

Keyphrases

stochastic processes
stochastic process
probability distribution
random fields
total least squares
regularized least squares
high dimensional
random variables
dynamic bayesian networks
sparse representation
machine learning
computer vision
prior knowledge
parameter estimation
maximum entropy