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ICASSP
2011
IEEE
12 years 11 months ago
Sparsity-based Sinogram Denoising for low-dose Computed Tomography
We propose a sinogram restoration method which consists of a patch-wise non-linear processing, based on a sparsity prior in terms of a learned dictionary. An off-line learning pro...
Joseph Shtok, Michael Elad, Michael Zibulevsky
NIPS
2001
13 years 9 months ago
Algorithmic Luckiness
Classical statistical learning theory studies the generalisation performance of machine learning algorithms rather indirectly. One of the main detours is that algorithms are studi...
Ralf Herbrich, Robert C. Williamson
ICALT
2007
IEEE
14 years 2 months ago
Visualizing Narrative Structures and Learning Style Information in Personalized e-Learning Systems
This paper proposes a novel approach to the visualization of complex, but interrelated, sets of information to ease user cognition. Principally, it explores the potential of provi...
Fionán Peter Williams, Owen Conlan
TIT
2010
97views Education» more  TIT 2010»
13 years 2 months ago
Why does the Kronecker model result in misleading capacity estimates?
Many recent works that study the performance of multi-input multi-output (MIMO) systems in practice assume a Kronecker model where the variances of the channel entries, upon decom...
Vasanthan Raghavan, Jayesh H. Kotecha, Akbar M. Sa...
ICASSP
2011
IEEE
12 years 11 months ago
Mixed norms with overlapping groups as signal priors
In a number of signal processing applications, problem formulations based on the 1 norm as a sparsity inducing signal prior lead to simple algorithms with good performance. Howeve...
Ilker Bayram