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» Estimating Vision Parameters given Data with Covariances
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CSDA
2007
128views more  CSDA 2007»
14 years 9 months ago
Computational methods for case-cohort studies
Computational methods, which can be implemented using standard Cox regression software, are given for fitting “exact” pseudolikehood estimates and robust and asymptotic varia...
Bryan Langholz, Jenny Jiao
ECCV
2010
Springer
15 years 3 months ago
Gaussian-like Spatial Priors for Articulated Tracking
We present an analysis of the spatial covariance structure of an articulated motion prior in which joint angles have a known covariance structure. From this, a well-known, but ofte...
ICCV
1999
IEEE
15 years 2 months ago
Epipolar Geometry Estimation by Tensor Voting in 8D
We present a novel, efficient, initializationfree approach to the problem of epipolar geometry estimation, by formulating it as one of hyperplane inference from a sparse and noisy...
Chi-Keung Tang, Gérard G. Medioni, Mi-Suen ...

Publication
220views
16 years 9 months ago
Exploiting the Impact of Database System Configuration Parameters: A Design of Experiments Approach
Tuning database system configuration parameters to proper values according to the expected query workload plays a very important role in determining DBMS performance. However, the ...
Biplob K. Debnath, Mohamed F. Mokbel, David J. Lil...
CVPR
2007
IEEE
15 years 1 months ago
Minimal Solutions for Panoramic Stitching
This paper presents minimal solutions for the geometric parameters of a camera rotating about its optical centre. In particular we present new 2 and 3 point solutions for the homo...
Matthew Brown, Richard I. Hartley, David Nist&eacu...