A unified approach to state estimation problems under data and model uncertainties.

Daniel Sigalov Tomer Michaeli Yaakov Oshman

Published in: FUSION (2012)

Keyphrases

probabilistic model
parameter estimation
similarity measure
training data
k means
probability distribution
state space
model selection
prior information
estimation problems