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Graphs play an important role in many fields of machine learning such as clustering. Many graph-based machine learning approaches assume that the graphs have hidden group structures. However, the grou...
Three-dimensional building reconstruction from remote sensing imagery is one of the most difficult and important 3D modeling problems for complex urban environments. The main data sources provided the...
Feature-detection methods are applied to drive Cartesian-based adaptive mesh re nement for improved vortex resolution in aerodynamics ow elds. Several approaches such as the Q-criterion, the eigenvalu...
We investigate feature detection schemes used to guide appropriate mesh resolution for CFD calculations with adaptive mesh re nement (AMR). Methods based on eigenvalues of the velocity gradient, di er...
To enhance research surveying in software methodologies, a model is introduced that can indicate field maturity based on vocabulary and relevant literature. This model is developed by drawing analogie...

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