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116
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SGP
2003
15 years 3 months ago
Provably Good Surface Sampling and Approximation
We present an algorithm for meshing surfaces that is a simple adaptation of a greedy “farthest point” technique proposed by Chew. Given a surface S, it progressively adds poin...
Steve Oudot, Jean-Daniel Boissonnat
VG
2003
15 years 3 months ago
Hybrid Forward Resampling and Volume Rendering
The transforming and rendering of discrete objects, such as traditional images (with or without depths) and volumes, can be considered as resampling problem – objects are recons...
Xiaoru Yuan, Minh X. Nguyen, Hui Xu, Baoquan Chen
SMA
2009
ACM
132views Solid Modeling» more  SMA 2009»
15 years 9 months ago
Robust Voronoi-based curvature and feature estimation
Many algorithms for shape analysis and shape processing rely on accurate estimates of differential information such as normals and curvature. In most settings, however, care must...
Quentin Mérigot, Maks Ovsjanikov, Leonidas ...
ECCV
2000
Springer
16 years 4 months ago
Model-Based Initialisation for Segmentation
The initialisation of segmentation methods aiming at the localisation of biological structures in medical imagery is frequently regarded as a given precondition. In practice, howev...
Christian Brechbühler, Gábor Szé...
136
Voted
KDD
2008
ACM
259views Data Mining» more  KDD 2008»
16 years 2 months ago
Using ghost edges for classification in sparsely labeled networks
We address the problem of classification in partially labeled networks (a.k.a. within-network classification) where observed class labels are sparse. Techniques for statistical re...
Brian Gallagher, Hanghang Tong, Tina Eliassi-Rad, ...