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» Estimating Vision Parameters given Data with Covariances
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EUROCAST
2007
Springer
190views Hardware» more  EUROCAST 2007»
13 years 10 months ago
Efficient On-Board Stereo Vision Pose Estimation
Abstract. This paper presents an efficient technique for real time estimation of on-board stereo vision system pose. The whole process is performed in the Euclidean space and consi...
Angel Domingo Sappa, Fadi Dornaika, David Ger&oacu...
ISMS
2004
Springer
14 years 3 days ago
Liver Vessel Parameter Estimation from Tactile Imaging Information
Realistic tissue models require accurate representations of the properties of in vivo tissue. This study examines the potential for tactile imaging to measure tissue properties an...
Anna M. Galea, Robert D. Howe
GLOBECOM
2006
IEEE
14 years 24 days ago
Cluster-Based MIMO Channel Model Parameters Extracted from Indoor Time-Variant Measurements
— This paper presents a complete solution to the problem of how to parametrise cluster-based stochastic MIMO channel models from measurement data, with minimum user intervention....
Nicolai Czink, Ernst Bonek, Lassi Hentila, Jukka-P...
ECCV
2006
Springer
14 years 8 months ago
Density Estimation Using Mixtures of Mixtures of Gaussians
In this paper we present a new density estimation algorithm using mixtures of mixtures of Gaussians. The new algorithm overcomes the limitations of the popular Expectation Maximiza...
Wael Abd-Almageed, Larry S. Davis
JMIV
2007
98views more  JMIV 2007»
13 years 6 months ago
A Bilinear Approach to the Parameter Estimation of a General Heteroscedastic Linear System, with Application to Conic Fitting
: In this paper, we study the parameter estimation problem in a general heteroscedastic linear system, by putting the problem in the framework of the bilinear approach to low-rank ...
Pei Chen, David Suter