Optimizes expensive shape models using Gaussian processes in reduced eigenbases.
problem Optimizing expensive numerical simulators with many parameters.
method High-dimensional shape mapping, eigenshape coordinate system, regularized likelihood maximization, critical dimensions focus, random embedding, manifold replication.
result More accurate and faster optimization with reduced parameter space.