Functional organization of the fusiform gyrus revealed with connectivity profiles. [PDF]
Zhang W +7 more
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Developing Subdomain Allocation Algorithms Based on Spatial and Communicational Constraints to Accelerate Dust Storm Simulation. [PDF]
Gui Z +10 more
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Connectivity-based parcellation of the human frontal pole with diffusion tensor imaging. [PDF]
Liu H +6 more
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The Right Dorsal Premotor Mosaic: Organization, Functions, and Connectivity. [PDF]
Genon S +14 more
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Lattice cleaving: a multimaterial tetrahedral meshing algorithm with guarantees. [PDF]
Bronson J, Levine JA, Whitaker R.
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Multiscale geometric modeling of macromolecules II: Lagrangian representation. [PDF]
Feng X, Xia K, Chen Z, Tong Y, Wei GW.
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\u201cGPU-Assisted Computation of Centroidal Voronoi Tessellation\u201d
G. Rong, Y. Liu, W. Wang, X. Yin, X. Gu +1 more
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Constrained Centroidal Voronoi Tessellations for Surfaces
SIAM Journal on Scientific Computing, 2003The objective of the paper is to study the centroidal Voronoi tessellations (CVT) methododlogy developed \textit{Q. Du, V. Faber} and \textit{M. Gunzburger} [SIAM Rev. 41, 637--676 (1999; Zbl 0983.65021)], in the case where the point sets are constrained to lie on surfaces in \({\mathbb R}^N\).
Du, Qiang, Gunzburger, Max D., Ju, Lili
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Hyperbolic centroidal Voronoi tessellation
Proceedings of the 14th ACM Symposium on Solid and Physical Modeling, 2010The centroidal Voronoi tessellation (CVT) has found versatile applications in geometric modeling, computer graphics, and visualization. In this paper, we extend the concept of the CVT from Euclidean space to hyperbolic space. A novel hyperbolic CVT energy is defined, and the relationship between minimizing this energy and the hyperbolic CVT is proved ...
Guodong Rong, Miao Jin, Xiaohu Guo
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Mahalanobis centroidal Voronoi tessellations
Computers & Graphics, 2015Anisotropic centroidal Voronoi tessellations (CVT) are a useful tool for segmenting surfaces in geometric modeling. We present a new approach to anisotropic CVT, where the local distance metric is learned from the embedding of the shape. Concretely, we define the distance metric implicitly as the minimizer of the CVT energy.
Ronald Richter, Marc Alexa
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