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» Recovering a Polygon from Noisy Data
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VIS
2004
IEEE
214views Visualization» more  VIS 2004»
14 years 8 months ago
Surface Reconstruction of Noisy and Defective Data Sets
We present a novel surface reconstruction algorithm that can recover high-quality surfaces from noisy and defective data sets without any normal or orientation information. A set ...
Hui Xie, Kevin T. McDonnell, Hong Qin
TMI
2010
112views more  TMI 2010»
13 years 5 months ago
Regularized Interpolation for Noisy Images
Abstract—Interpolation is the means by which a continuouslydefined model is fit to discrete data samples. When the data samples are exempt of noise, it seems desirable to build...
Sathish Ramani, Philippe Thévenaz, Michael ...
COLING
1990
13 years 8 months ago
A Spelling Correction Program Based on a Noisy Channel Model
This paper describes a new program, correct, which takes words rejected by the Unix spell program, proposes a list of candidate corrections, and sorts them by probability. The pro...
Mark D. Kernighan, Kenneth Ward Church, William A....
ICPR
2002
IEEE
14 years 8 months ago
Prototype Selection for Finding Efficient Representations of Dissimilarity Data
The nearest neighbor (NN) rule is a simple and intuitive method for solving classification problems. Originally, it uses distances to the complete training set. It performs well, ...
Elzbieta Pekalska, Robert P. W. Duin
ISBI
2004
IEEE
14 years 8 months ago
Recovery of Intra-voxel Structure from HARD DWI
We present a variational framework for determination of intra-voxel fiber orientations from High Angular Resolution Diffusion-Weighted (HARD) MRI under the assumption of biGaussia...
Yunmei Chen, Weihong Guo, Qingguo Zeng, Guojun He,...