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» Algorithms for Spatial Outlier Detection
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MICCAI
2003
Springer
14 years 8 months ago
Robust Estimation for Brain Tumor Segmentation
Given models for healthy brains, tumor segmentation can be seen as a process of detecting abnormalities or outliers that are present with certain image intensity and geometric prop...
Marcel Prastawa, Elizabeth Bullitt, Sean Ho, Guido...
ICONIP
2004
13 years 9 months ago
Outliers Treatment in Support Vector Regression for Financial Time Series Prediction
Recently, the Support Vector Regression (SVR) has been applied in the financial time series prediction. The financial data are usually highly noisy and contain outliers. Detecting ...
Haiqin Yang, Kaizhu Huang, Laiwan Chan, Irwin King...
TOG
2008
143views more  TOG 2008»
13 years 7 months ago
Discovering structural regularity in 3D geometry
We introduce a computational framework for discovering regular or repeated geometric structures in 3D shapes. We describe and classify possible regular structures and present an e...
Mark Pauly, Niloy J. Mitra, Johannes Wallner, Helm...
INFOCOM
2010
IEEE
13 years 6 months ago
Beyond Triangle Inequality: Sifting Noisy and Outlier Distance Measurements for Localization
—Knowing accurate positions of nodes in wireless ad-hoc and sensor networks is essential for a wide range of pervasive and mobile applications. However, errors are inevitable in ...
Lirong Jian, Zheng Yang, Yunhao Liu
CSDA
2008
158views more  CSDA 2008»
13 years 7 months ago
Outlier identification in high dimensions
A computationally fast procedure for identifying outliers is presented, that is particularly effective in high dimensions. This algorithm utilizes simple properties of principal c...
Peter Filzmoser, Ricardo A. Maronna, Mark Werner