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MICCAI
2010
Springer
14 years 11 months ago
Multi-Class Sparse Bayesian Regression for Neuroimaging Data Analysis
The use of machine learning tools is gaining popularity in neuroimaging, as it provides a sensitive assessment of the information conveyed by brain images. In particular, finding ...
Vincent Michel, Evelyn Eger, Christine Keribin, Be...
136
Voted
NECO
2011
14 years 7 months ago
Least Squares Estimation Without Priors or Supervision
Selection of an optimal estimator typically relies on either supervised training samples (pairs of measurements and their associated true values), or a prior probability model for...
Martin Raphan, Eero P. Simoncelli
114
Voted
ICPR
2004
IEEE
16 years 1 months ago
Edge Detection in Range Images of Piled Box-like Objects
We present a framework for edge detection in range images acquired by a time of flight laser sensor. Our edge detection approach is inspired by [7], in the context of which edge d...
Andreas Werber, Dimitrios Katsoulas
82
Voted
VTC
2006
IEEE
15 years 6 months ago
Feasible Link Statistics for Adaptive Ad Hoc Networks
— The dynamic nature of ad hoc networks advocates the use of adaptive schemes to optimize network performance. Such adaptive schemes require local observations of prevailing netw...
Senan J. Doyle, Timothy K. Forde, Linda Doyle
90
Voted
WACV
2005
IEEE
15 years 6 months ago
Mapping the Physical Properties of Cosmic Hot Gas with Hyper-Spectral Imaging
A novel inversion technique is proposed to compute parametric maps showing the temperature, density and chemical composition of cosmic hot gas from X-ray hyper-spectral images. Th...
Mark O'Dwyer, Ela Claridge, Trevor Ponman, Somak R...