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End-to-End Learning of Gaussian Mixture Proposals Using Differentiable Particle Filters and Neural Networks.
Benjamin Cox
Sara Pérez-Vieites
Nicolas Zilberstein
Martin Sevilla
Santiago Segarra
Víctor Elvira
Published in:
ICASSP (2024)
Keyphrases
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end to end
particle filter
gaussian mixture
learning algorithm
reinforcement learning
congestion control
visual tracking
image processing
objective function
pairwise
supervised learning
em algorithm
mean shift
monte carlo