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» Estimating random variables from random sparse observations
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COLT
2004
Springer
14 years 27 days ago
Convergence of Discrete MDL for Sequential Prediction
We study the properties of the Minimum Description Length principle for sequence prediction, considering a two-part MDL estimator which is chosen from a countable class of models....
Jan Poland, Marcus Hutter
ICASSP
2011
IEEE
12 years 11 months ago
Fast physical object identification based on unclonable features and soft fingerprinting
In this paper we advocate a new technique for the fast identi cation of physical objects based on their physical unclonable features (surface microstructures). The proposed identi...
Taras Holotyak, Sviatoslav Voloshynovskiy, Oleksiy...
CORR
2011
Springer
155views Education» more  CORR 2011»
13 years 2 months ago
Reconciling Compressive Sampling Systems for Spectrally-sparse Continuous-time Signals
The Random Demodulator (RD) and the Modulated Wideband Converter (MWC) are two recently proposed compressed sensing (CS) techniques for the acquisition of continuous-time spectral...
Michael A. Lexa, Mike E. Davies, John S. Thompson
BMCBI
2008
107views more  BMCBI 2008»
13 years 7 months ago
Probe-specific mixed-model approach to detect copy number differences using multiplex ligation-dependent probe amplification (ML
Background: MLPA method is a potentially useful semi-quantitative method to detect copy number alterations in targeted regions. In this paper, we propose a method for the normaliz...
Juan R. González, Josep L. Carrasco, Llu&ia...
DAGM
2003
Springer
14 years 22 days ago
Locally Optimized RANSAC
A new enhancement of RANSAC, the locally optimized RANSAC (LO-RANSAC), is introduced. It has been observed that, to find an optimal solution (with a given probability), the numbe...
Ondrej Chum, Jiri Matas, Josef Kittler