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» Computation Error Tolerance in Motion Estimation Algorithms
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UAI
2008
15 years 5 months ago
Small Sample Inference for Generalization Error in Classification Using the CUD Bound
Confidence measures for the generalization error are crucial when small training samples are used to construct classifiers. A common approach is to estimate the generalization err...
Eric Laber, Susan Murphy
CVPR
2003
IEEE
16 years 5 months ago
An Efficient Solution to the Five-Point Relative Pose Problem
An efficient algorithmic solution to the classical five-point relative pose problem is presented. The problem is to find the possible solutions for relative camera motion between ...
David Nistér
ACCV
2007
Springer
15 years 7 months ago
Motion Observability Analysis of the Simplified Color Correlogram for Visual Tracking
Abstract. Compared with the color histogram, where the position information of each pixel is ignored, a simplified color correlogram (SCC) representation encodes the spatial inform...
Qi Zhao, Hai Tao
CCA
2009
Springer
15 years 8 months ago
From Interval Computations to Constraint-Related Set Computations: Towards Faster Estimation of Statistics and ODEs under Interv
Interval computations estimate the uncertainty of the result of data processing in situations in which we only know the upper bounds ∆ on the measurement errors. In this case, ba...
Vladik Kreinovich
ECCV
1998
Springer
16 years 5 months ago
Concerning Bayesian Motion Segmentation, Model, Averaging, Matching and the Trifocal Tensor
Abstract. Motion segmentation involves identifying regions of the image that correspond to independently moving objects. The number of independently moving objects, and type of mot...
Philip H. S. Torr, Andrew Zisserman