Login / Signup
Standard Deep Generative Models for Density Estimation in Configuration Spaces: A Study of Benefits, Limits and Challenges.
Robert Gieselmann
Florian T. Pokorny
Published in:
IROS (2020)
Keyphrases
</>
density estimation
generative model
mixture model
em algorithm
probability density function
probabilistic model
prior knowledge
statistical analysis
gaussian mixture model
bayesian framework
discriminative learning
data sets
image processing
bayesian networks
low dimensional
conditional random fields