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We investigate the convergence rate in the vanishing viscosity process of the solutions to the subquadratic state-constraint Hamilton-Jacobi equations. We give two different proofs of the fact that, f...
To solve existing problems in modeling facade of building merely with point feature based on close-range images , a new method for modeling building facade under line feature constraint is proposed in...
Constraint-based program analyses are appealing because elaborate analyses can be described with a concise and simple set of constraint generation rules. Constraint resolution algorithms have been dev...
BANE (the Berkeley Analysis Engine) is a publicly available toolkit for constructing type- and constraint-based program analyses.1 We describe the goals of the pro ject, the rationale for BANE's overa...
Many program analyses are naturally formulated and implemented using inclusion constraints. We present new results on the scalable implementation of such analyses based on two insights: rst, that onl...
Inclusion-based program analyses are implemented by adding new edges to directed graphs. In most analyses, there are many di erent ways to add a transitive edge between two nodes, namely through each ...
Many program analyses can be reduced to graph reachability problems involving a limited form of context-free language reachability called Dyck-CFL reachability. We show a new reduction from Dyck-CFL r...
We introduce Banshee, a toolkit for constructing constraintbased analyses. Banshee’s novel features include a code generator for creating customized constraint resolution engines, incremental analysis...
Static analysis techniques that represent program states as formulas typically generate a large number of redundant formulas that are incrementally constructed from previous formulas. In addition to q...
Introduction to Set Constraint-Based Program Analysis.
Present algorithms for D-TIN are far insufficient for the dynamic updating of CD-TIN in different applications. This paper, based on improvement to present insertion and deletion algorithms for D-TI...
Today’s processes to extract man-made objects from measurement data are quite traditional. Often, they are still point based, with the exception of a few systems which allow to automatically fit simpl...
Today’s processes to extract man-made objects from measurement data are quite traditional. Often, they are still point based, with the exception of a few systems which allow to automatically fit simpl...
For automatic processing of point clouds their segmentation is one of the most important processes. The methods based on curvature and other higher level derivatives often lead to over segmentation, w...
Soil map that shows the geographical distribution regularity of different soil types and the soil resources diversity is an important type of categorical maps. And soil map is applied in various prof...

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