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CORR
2008
Springer
133views Education» more  CORR 2008»
13 years 8 months ago
Estimating divergence functionals and the likelihood ratio by convex risk minimization
We develop and analyze M-estimation methods for divergence functionals and the likelihood ratios of two probability distributions. Our method is based on a non-asymptotic variatio...
XuanLong Nguyen, Martin J. Wainwright, Michael I. ...
IEICET
2010
132views more  IEICET 2010»
13 years 6 months ago
Direct Importance Estimation with a Mixture of Probabilistic Principal Component Analyzers
Estimating the ratio of two probability density functions (a.k.a. the importance) has recently gathered a great deal of attention since importance estimators can be used for solvi...
Makoto Yamada, Masashi Sugiyama, Gordon Wichern, J...
EMMCVPR
1999
Springer
14 years 3 days ago
Adaptive Bayesian Contour Estimation: A Vector Space Representation Approach
Abstract. We propose a vector representation approach to contour estimation from noisy data. Images are modeled as random elds composed of a set of homogeneous regions contours (bo...
José M. B. Dias
CRV
2004
IEEE
146views Robotics» more  CRV 2004»
13 years 11 months ago
Estimating Camera Motion through a 3D Cluttered Scene
Previous methods for estimating the motion of an observer through a static scene require that image velocities can be measured. For the case of motion through a cluttered 3D scene...
Richard Mann, Michael S. Langer
DSMML
2004
Springer
13 years 11 months ago
Variational Bayes Estimation of Mixing Coefficients
We investigate theoretically some properties of variational Bayes approximations based on estimating the mixing coefficients of known densities. We show that, with probability 1 a...
Bo Wang 0002, D. M. Titterington