Exact(1)
To discover possible hotspots where other aberrant signaling might occur, we looked at higher order intersections.
Similar(59)
This paper presents the first systematic and quantitative study of the secondary and higher order intersection effects.
Approximated sketches of higher order intersection curves in 2D views result in the invalidation of existing methods that need the exact projection information as input.
Thus, it is desired to identify regions of intersection of a maximal number of B i. We formalize this problem by defining a partial order on intersections of subsets of ℬ.
An efficient algorithm for first-order grid intersections, by computing geometrically the intersection volume between donor and target zones, is developed for polyhedral meshes.
We present an algorithm for deciding the x-order of intersections from the signs of the coefficients of a polynomial, obtained by a general approach based on resultants.
In relation to land use variables, their relative magnitudes were consistent in all SEM models: in descending order, street intersection density > bus stop density > daytime population density > de jure population density > metro station density (land use entropy was not significant in any of the models).
For the remapping phase, an improved second-order cell-intersection-based method for three-dimensional unstructured mesh is presented.
In addition, we show that the multipartite graph on which the series terminates has a very nice combinatorial structure: we exhibit a bijection between its vertices and the chains of the inclusion order on the intersections of the maximal cliques of the input graph.
Note that each decreasing chain in Φ with the set inclusion order has its intersection as a lower bound.
In order to test the intersection assistance, eight intersections were depicted for further analyses.
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