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» Density Estimation in Linear Time
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SIAMSC
2011
219views more  SIAMSC 2011»
13 years 3 months ago
Fast Algorithms for Bayesian Uncertainty Quantification in Large-Scale Linear Inverse Problems Based on Low-Rank Partial Hessian
We consider the problem of estimating the uncertainty in large-scale linear statistical inverse problems with high-dimensional parameter spaces within the framework of Bayesian inf...
H. P. Flath, Lucas C. Wilcox, Volkan Akcelik, Judi...
CVPR
2004
IEEE
14 years 10 months ago
Model-Based Motion Clustering Using Boosted Mixture Modeling
Model-based clustering of motion trajectories can be posed as the problem of learning an underlying mixture density function whose components correspond to motion classes with dif...
Vladimir Pavlovic
CORR
2008
Springer
112views Education» more  CORR 2008»
13 years 8 months ago
2D Linear Precoded OFDM for future mobile Digital Video Broadcasting
In this paper, we propose a novel channel estimation technique based on 2D spread pilots. The merits of this technique are its simplicity, its flexibility regarding the transmissi...
Oudomsack Pierre Pasquero, Matthieu Crussiè...
ICASSP
2010
IEEE
13 years 8 months ago
Direct importance estimation with probabilistic principal component analyzers
The importance estimation problem (estimating the ratio of two probability density functions) has recently gathered a great deal of attention for use in various applications, e.g....
Makoto Yamada, Masashi Sugiyama, Gordon Wichern
ICC
2008
IEEE
140views Communications» more  ICC 2008»
14 years 3 months ago
Numerical Performance Evaluation of impaired OFDM Links using Alamouti Space Time Coding
—In this paper we present an analytical approach to evaluate the M-QAM bit error rate (BER) as well as channel capacity of Alamouti space time coded OFDM systems in case of direc...
Marco Krondorf, Gerhard Fettweis