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» Modeling non-gaussian noise for robust image analysis
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BILDMED
2008
176views Algorithms» more  BILDMED 2008»
13 years 9 months ago
Edge-Preserving Denoising for Segmentation in CT-images
In the clinical environment the segmentation of organs is an increasingly important application and used, for example, to restrict the perfusion analysis to a certain organ. In ord...
Eva Eibenberger, Anja Borsdorf, Andreas Wimmer, Jo...
SOFSEM
1999
Springer
13 years 12 months ago
Coherent Concepts, Robust Learning
We study learning scenarios in which multiple learners are involved and “nature” imposes some constraints that force the predictions of these learners to behave coherently. Thi...
Dan Roth, Dmitry Zelenko
SMA
2009
ACM
141views Solid Modeling» more  SMA 2009»
14 years 10 days ago
Robust principal curvatures using feature adapted integral invariants
Principal curvatures and principal directions are fundamental local geometric properties. They are well defined on smooth surfaces. However, due to the nature as higher order di...
Yu-Kun Lai, Shi-Min Hu, Tong Fang
CVPR
2006
IEEE
14 years 1 months ago
Robust multi-target tracking using spatio-temporal context
In multi-target tracking, the maintaining of the correct identity of targets is challenging. In the presented tracking method, accurate target identification is achieved by incor...
Hieu Tat Nguyen, Qiang Ji, Arnold W. M. Smeulders
PAMI
2007
214views more  PAMI 2007»
13 years 7 months ago
2D Affine-Invariant Contour Matching Using B-Spline Model
—This paper presents a new affine-invariant matching algorithm based on B-Spline modeling, which solves the problem of the nonuniqueness of B-Spline in curve matching. This metho...
Yue Wang, Eam Khwang Teoh