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» Boosting in the presence of noise
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VTC
2006
IEEE
14 years 3 months ago
Soft Detection with Linear Precoding for Spatial Multiplexing Systems
— We present a precoded reduced-complexity soft detection (PRCSD) algorithm for spatial multiplexing systems. The linear operations at both transmit and receive sides based on co...
Yong Li, Jaekyun Moon
ISBI
2004
IEEE
14 years 10 months ago
Probabilistic ICA for fMRI
Independent Component Analysis is becoming a popular exploratory method for analysing complex data such as that from FMRI experiments. The application of such `model-free' me...
Christian Beckmann
CVPR
2010
IEEE
13 years 10 months ago
Robust RVM regression using sparse outlier model
Kernel regression techniques such as Relevance Vector Machine (RVM) regression, Support Vector Regression and Gaussian processes are widely used for solving many computer vision p...
Kaushik Mitra, Ashok Veeraraghavan, Rama Chellappa
TSP
2008
106views more  TSP 2008»
13 years 9 months ago
Guaranteeing Practical Convergence in Algorithms for Sensor and Source Localization
This paper considers localization of a source or a sensor from distance measurements. We argue that linear algorithms proposed for this purpose are susceptible to poor noise perfor...
Baris Fidan, Soura Dasgupta, Brian D. O. Anderson
TSP
2008
102views more  TSP 2008»
13 years 9 months ago
Bias Corrected PSD Estimation for an Adaptive Array With Moving Interference
We address the issue of computing power spectral density (PSD) estimates at the output of a beamforming sensor array in the presence of strong moving interference. It is shown that...
Brian D. Jeffs, Karl F. Warnick