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» Boundary Finding with Prior Shape and Smoothness Models
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CGF
2010
168views more  CGF 2010»
13 years 5 months ago
Modeling Complex Unfoliaged Trees from a Sparse Set of Images
We present a novel image-based technique for modeling complex unfoliaged trees. Existing tree modeling tools either require capturing a large number of views for dense 3D reconstr...
Luis D. Lopez, Yuanyuan Ding, Jingyi Yu
BMCBI
2011
13 years 21 days ago
Statistical learning techniques applied to epidemiology: a simulated case-control comparison study with logistic regression
Background: When investigating covariate interactions and group associations with standard regression analyses, the relationship between the response variable and exposure may be ...
John J. Heine, Walker H. Land Jr., Kathleen M. Ega...
IPMI
2009
Springer
14 years 6 months ago
Estimating Uncertainty in Brain Region Delineations
This paper presents a method for estimating uncertainty in MRI-based brain region delineations provided by fully-automated segmentation methods. In large data sets, the uncertainty...
Karl R. Beutner, Gautam Prasad, Evan Fletcher, Cha...
CGF
2010
218views more  CGF 2010»
13 years 5 months ago
Mesh Snapping: Robust Interactive Mesh Cutting Using Fast Geodesic Curvature Flow
This paper considers the problem of interactively finding the cutting contour to extract components from a given mesh. Some existing methods support cuts of arbitrary shape but re...
Juyong Zhang, Chunlin Wu, Jianfei Cai, Jianmin Zhe...
CVPR
2008
IEEE
14 years 7 months ago
Generalised blurring mean-shift algorithms for nonparametric clustering
Gaussian blurring mean-shift (GBMS) is a nonparametric clustering algorithm, having a single bandwidth parameter that controls the number of clusters. The algorithm iteratively sh...
Miguel Á. Carreira-Perpiñán