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» Maximum likelihood mapping with spectral image registration
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ICRA
2010
IEEE
138views Robotics» more  ICRA 2010»
13 years 3 months ago
Maximum likelihood mapping with spectral image registration
Abstract— A core challenge in probabilistic mapping is to extract meaningful uncertainty information from data registration methods. While this has been investigated in ICP-based...
Max Pfingsthorn, Andreas Birk 0002, Sören Sch...
FIMH
2009
Springer
13 years 11 months ago
Maximum Likelihood Motion Estimation in 3D Echocardiography through Non-rigid Registration in Spherical Coordinates
Automated motion tracking of the myocardium from 3D echocardiography provides insight into heart’s architecture and function. We present a method for 3D cardiac motion tracking u...
Andriy Myronenko, Xubo B. Song, David J. Sahn
ICBA
2004
Springer
197views Biometrics» more  ICBA 2004»
13 years 10 months ago
Maximum Likelihood and Maximum a Posteriori Adaptation for Distributed Speaker Recognition Systems
We apply the ETSI’s DSR standard to speaker verification over telephone networks and investigate the effect of extracting spectral features from different stages of the ETSI...
Chin-Hung Sit, Man-Wai Mak, Sun-Yuan Kung
TIP
2008
169views more  TIP 2008»
13 years 4 months ago
Maximum Likelihood Wavelet Density Estimation With Applications to Image and Shape Matching
Density estimation for observational data plays an integral role in a broad spectrum of applications, e.g. statistical data analysis and information-theoretic image registration. ...
Adrian M. Peter, Anand Rangarajan
ICRA
1998
IEEE
143views Robotics» more  ICRA 1998»
13 years 9 months ago
Maximum Likelihood Rover Localization by Matching Range Maps
This paper describes maximum likelihood estimation techniques for performing rover localization in natural terrain by matching range maps. An occupancy map of the local terrain is...
Clark F. Olson, Larry Matthies