Alex Segal
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Alex Segal
The covariance matrix is treated as fixed during the optimization of T. It's adjusted in between optimizations (the same as the data associations).
In hindsight I would say the right approach would be to use a Gauss-Newton based optimization which automatically scales the gradient using the gradient: step = E.g. H^_1 . In...