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» An LFT approach to parameter estimation
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ICASSP
2010
IEEE
13 years 6 months ago
Learning in Gaussian Markov random fields
This paper addresses the problem of state estimation in the case where the prior distribution of the states is not perfectly known but instead is parameterized by some unknown par...
Thomas J. Riedl, Andrew C. Singer, Jun Won Choi
NECO
1998
119views more  NECO 1998»
13 years 7 months ago
Density Estimation by Mixture Models with Smoothing Priors
In the statistical approach for self-organizing maps (SOMs), learning is regarded as an estimation algorithm for a Gaussian mixture model with a Gaussian smoothing prior on the ce...
Akio Utsugi
ICCV
1998
IEEE
14 years 9 months ago
Minimizing Algebraic Error in Geometric Estimation Problems
This paper gives a widely applicable technique for solving many of the parameter estimation problems encountered in geometric computer vision. A commonly used approach is to minim...
Richard I. Hartley
ECCV
2008
Springer
14 years 9 months ago
Fast and Accurate Rotation Estimation on the 2-Sphere without Correspondences
Abstract. We present a refined method for rotation estimation of signals on the 2-Sphere. Our approach utilizes a fast correlation in the harmonic domain to estimate rotation angle...
Janis Fehr, Marco Reisert, Hans Burkhardt
FIMH
2005
Springer
14 years 1 months ago
Estimating Local Apparent Conductivity with a 2-D Electrophysiological Model of the Heart
Abstract. In this article we study the problem of estimating the parameters of a 2-D electrophysiological model of the heart from a set of temporal recordings of extracellular pote...
Valérie Moreau-Villéger, Hervé...