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» Density Estimation in Linear Time
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ICML
2007
IEEE
14 years 9 months ago
Modeling changing dependency structure in multivariate time series
We show how to apply the efficient Bayesian changepoint detection techniques of Fearnhead in the multivariate setting. We model the joint density of vector-valued observations usi...
Xiang Xuan, Kevin P. Murphy
TSP
2008
147views more  TSP 2008»
13 years 8 months ago
Low-Complexity MIMO Multiuser Receiver: A Joint Antenna Detection Scheme for Time-Varying Channels
Abstract--This paper deals with the uplink of a wireless multiple-input multiple-output (MIMO) communication system based on multicarrier (MC) code division multiple access (CDMA)....
Charlotte Dumard, Thomas Zemen
ICASSP
2008
IEEE
14 years 3 months ago
Belief propagation distributed estimation in sensor networks: An optimized energy accuracy tradeoff
The estimation error performance of Gaussian belief propagation based distributed estimation in a large sensor network employing random sleep strategies is explicitly evaluated fo...
John MacLaren Walsh, Phillip A. Regalia
CVPR
2005
IEEE
14 years 10 months ago
WaldBoost - Learning for Time Constrained Sequential Detection
: In many computer vision classification problems, both the error and time characterizes the quality of a decision. We show that such problems can be formalized in the framework of...
Jan Sochman, Jiri Matas
TSP
2008
99views more  TSP 2008»
13 years 8 months ago
Low-Complexity Block Turbo Equalization for OFDM Systems in Time-Varying Channels
We propose low-complexity block turbo equalizers for orthogonal frequency-division multiplexing (OFDM) systems in time-varying channels. The presented work is based on a soft minim...
Kun Fang, Luca Rugini, Geert Leus