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ICASSP
2011
IEEE
14 years 1 months ago
A sliding-window online fast variational sparse Bayesian learning algorithm
In this work a new online learning algorithm that uses automatic relevance determination (ARD) is proposed for fast adaptive nonlinear filtering. A sequential decision rule for i...
Thomas Buchgraber, Dmitriy Shutin, H. Vincent Poor
ISBI
2006
IEEE
15 years 10 months ago
Two probabilistic algorithms for MEG/EEG source reconstruction
We have developed two algorithms for source imaging from MEG/EEG data. Contribution to sensor data from a source at a particular voxel is expressed as the product of a known lead ...
Johanna M. Zumer, Hagai Attias, Kensuke Sekihara, ...
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IROS
2006
IEEE
108views Robotics» more  IROS 2006»
15 years 3 months ago
A Lie Algebraic Approach for Consistent Pose Registration for General Euclidean Motion
Abstract— We study the problem of registering local relative pose estimates to produce a global consistent trajectory of a moving robot. Traditionally, this problem has been stud...
Motilal Agrawal
TEC
2010
191views more  TEC 2010»
14 years 4 months ago
Particle Swarm Optimization Aided Orthogonal Forward Regression for Unified Data Modeling
We propose a unified data modeling approach that is equally applicable to supervised regression and classification applications, as well as to unsupervised probability density func...
Sheng Chen, Xia Hong, Chris J. Harris
TASLP
2008
104views more  TASLP 2008»
14 years 9 months ago
Tracking of Nonstationary Noise Based on Data-Driven Recursive Noise Power Estimation
This paper considers estimation of the noise spectral variance from speech signals contaminated by highly nonstationary noise sources. The method can accurately track fast changes ...
Jan S. Erkelens, Richard Heusdens