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» On the approximation order of tangent estimators
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AINA
2010
IEEE
13 years 6 months ago
Compensation of Sensors Nonlinearity with Neural Networks
—This paper describes a method of linearizing the nonlinear characteristics of many sensors using an embedded neural network. The proposed method allows for complex neural networ...
Nicholas J. Cotton, Bogdan M. Wilamowski
CVIU
2008
132views more  CVIU 2008»
13 years 6 months ago
Global parametric image alignment via high-order approximation
The estimation of parametric global motion is one of the cornerstones of computer vision. Such schemes are able to estimate various motion models (translation, rotation, affine, p...
Yosi Keller, Amir Averbuch
FOCM
2008
100views more  FOCM 2008»
13 years 7 months ago
Meshfree Thinning of 3D Point Clouds
An efficient data reduction scheme for the simplification of a surface given by a large set X of 3D point-samples is proposed. The data reduction relies on a recursive point remov...
Nira Dyn, Armin Iske, Holger Wendland
KR
1992
Springer
13 years 11 months ago
Order of Magnitude Reasoning using Logarithms
Converting complex equations into simpler, more tractable equations usually involves approximation. Approximation is usually done by identifying and removing insignificant terms, ...
P. Pandurang Nayak
UAI
2008
13 years 8 months ago
Sampling First Order Logical Particles
Approximate inference in dynamic systems is the problem of estimating the state of the system given a sequence of actions and partial observations. High precision estimation is fu...
Hannaneh Hajishirzi, Eyal Amir