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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
MICCAI
2008
Springer
14 years 8 months ago
MRI Bone Segmentation Using Deformable Models and Shape Priors
Abstract. This paper addresses the problem of automatically segmenting bone structures in low resolution clinical MRI datasets. The novel aspect of the proposed method is the combi...
Jérôme Schmid, Nadia Magnenat-Thalman...
EPIA
1997
Springer
13 years 11 months ago
GenSAT: A Navigational Approach
GenSATis a family of local hill-climbing procedures for solving propositional satisfiability problems.We restate it as a navigational search process performed on an N-dimensionalc...
Yury V. Smirnov, Manuela M. Veloso
AMCS
2008
146views Mathematics» more  AMCS 2008»
13 years 7 months ago
Fault Detection and Isolation with Robust Principal Component Analysis
Principal component analysis (PCA) is a powerful fault detection and isolation method. However, the classical PCA which is based on the estimation of the sample mean and covariance...
Yvon Tharrault, Gilles Mourot, José Ragot, ...
JVCIR
2006
88views more  JVCIR 2006»
13 years 7 months ago
Morphological wavelet-based stereo image coders
In this paper, we propose a family of novel stereoscopic image coders based on morphological coding and a block-based disparity compensation algorithm. The proposed schemes employ...
J. N. Ellinas, M. S. Sangriotis