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» Pose estimation and tracking using multivariate regression
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CDC
2010
IEEE
145views Control Systems» more  CDC 2010»
13 years 6 days ago
Multivariable frequency domain identification using IV-based linear regression
Abstract-- Identification of output error models from frequency domain data generally results in a non-convex optimization problem. A well-known method to approach the output error...
Rogier S. Blom, Paul M. J. Van den Hof
ACCV
2010
Springer
13 years 7 days ago
Latent Gaussian Mixture Regression for Human Pose Estimation
Discriminative approaches for human pose estimation model the functional mapping, or conditional distribution, between image features and 3D pose. Learning such multi-modal models ...
Yan Tian, Leonid Sigal, Hernán Badino, Fern...
JMLR
2010
136views more  JMLR 2010»
12 years 12 months ago
High Dimensional Inverse Covariance Matrix Estimation via Linear Programming
This paper considers the problem of estimating a high dimensional inverse covariance matrix that can be well approximated by "sparse" matrices. Taking advantage of the c...
Ming Yuan
ICIP
2003
IEEE
14 years 6 months ago
Real-time head tracking and 3D pose estimation from range data
In this paper a head tracking algorithm using 3D data is described. The system relies on a novel 3D sensor that generates a dense range image of the scene. By not relying on brigh...
Sotiris Malassiotis, Michael G. Strintzis
SIAMCO
2008
98views more  SIAMCO 2008»
13 years 5 months ago
Kernel Density Estimation and Goodness-of-Fit Test in Adaptive Tracking
We investigate the asymptotic properties of a recursive kernel density estimator associated with the driven noise of a linear regression in adaptive tracking. We provide an almost ...
Bernard Bercu, Bruno Portier