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Finally, these dissimilarity matrices are combined to a single one and clustering is performed by solving a MAP estimation problem.
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Starting from a properly designed initial map, we compute the map iteratively by solving a partial differential equation (PDE) defined on the source cortical surface.
In this study, one proposes for the Beta field determination, a mapping technique on the probability distribution function diagram, by solving a non-linear equation.
The simultaneous fitting of components into the assembly map is then achieved by solving a point set matching problem that considers both information about the geometric architecture of the point distributions and the consistency of their density values.
The points are mapped into a planar parameter domain by solving a sparse linear system.
MI-GRAAL fulfills this by solving a weighted bipartite matching, while GHOST by solving a quadratic problem.
The identification is done by solving an optimization problem.
In this paper we provide a method of solving a simultaneous localization and mapping (SLAM) problem by employing pose graph optimization and indoor magnetic measurements.
The mesh generator is motivated by the variational approach and is based on solving a new set of nonlinear elliptic PDEs for the mesh map.
The method first builds an approximate map (or model) of the folding energy landscape from which the population kinetics are analyzed by solving the master equation on the map.
We first find the fixed points of the map by solving the fixed point equation (3.11).
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