A Bayesian framework models synapses as point sources under diffeomorphic deformation with Poisson noise to simultaneously track locations, intensities, and tissue motion in longitudinal in vivo microscopy.
2008 IEEE conference on computer vision and pattern recognition , pages=
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ERPPO adds a DSA-based ambiguity estimator to MAPPO and switches between L1 and L2 entropy regularization to improve exploration and stability in non-stationary multi-dimensional observations.
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Bayesian In Vivo Tracking of Synapses using Joint Poisson Deconvolution and Diffeomorphic Registration
A Bayesian framework models synapses as point sources under diffeomorphic deformation with Poisson noise to simultaneously track locations, intensities, and tissue motion in longitudinal in vivo microscopy.
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ERPPO: Entropy Regularization-based Proximal Policy Optimization
ERPPO adds a DSA-based ambiguity estimator to MAPPO and switches between L1 and L2 entropy regularization to improve exploration and stability in non-stationary multi-dimensional observations.