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» Selectivity Estimation using Probabilistic Models
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NN
2000
Springer
165views Neural Networks» more  NN 2000»
15 years 4 months ago
Construction of confidence intervals for neural networks based on least squares estimation
We present the theoretical results about the construction of confidence intervals for a nonlinear regression based on least squares estimation and using the linear Taylor expansio...
Isabelle Rivals, Léon Personnaz
ICBA
2004
Springer
144views Biometrics» more  ICBA 2004»
15 years 10 months ago
Estimating Fingerprint Deformation
Fingerprint matching is affected by the nonlinear distortion introduced in fingerprint impressions during the image acquisition process. This nonlinear deformation causes finger...
Arun Ross, Sarat C. Dass, Anil K. Jain
ECCV
2000
Springer
16 years 6 months ago
Stochastic Tracking of 3D Human Figures Using 2D Image Motion
A probabilistic method for tracking 3D articulated human figures in monocular image sequences is presented. Within a Bayesian framework, we define a generative model of image appea...
Hedvig Sidenbladh, Michael J. Black, David J. Flee...
CSDA
2006
98views more  CSDA 2006»
15 years 5 months ago
Fast estimation algorithm for likelihood-based analysis of repeated categorical responses
Likelihood-based marginal regression modelling for repeated, or otherwise clustered, categorical responses is computationally demanding. This is because the number of measures nee...
Jukka Jokinen
GECCO
2007
Springer
201views Optimization» more  GECCO 2007»
15 years 11 months ago
A parallel framework for loopy belief propagation
There are many innovative proposals introduced in the literature under the evolutionary computation field, from which estimation of distribution algorithms (EDAs) is one of them....
Alexander Mendiburu, Roberto Santana, Jose Antonio...