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» Fast subspace-based tensor data filtering
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ICIP
2009
IEEE
13 years 2 months ago
Fast subspace-based tensor data filtering
Subspace-based methods rely on dominant element selection from second order statistics. They have been extended to tensor processing, in particular to tensor data filtering. For t...
Julien Marot, Caroline Fossati, Salah Bourennane
ISBI
2006
IEEE
14 years 5 months ago
A fast and rigorous anisotropic smoothing method for DT-MRI
Tensors are nowadays an increasing research domain in different areas, especially in image processing, motivated for example by DT-MRI (Diffusion Tensor Magnetic Resonance Imaging...
Carlos A. Castaño-Moraga, Christophe Lengle...
DAGM
2005
Springer
13 years 10 months ago
A Fast Algorithm for Statistically Optimized Orientation Estimation
Filtering a signal with a finite impulse response (FIR) filter introduces dependencies between the errors in the filtered image due to overlapping filter masks. If the filteri...
Matthias Mühlich, Rudolf Mester
TMI
2008
127views more  TMI 2008»
13 years 4 months ago
Restoration of DWI Data Using a Rician LMMSE Estimator
Abstract--This paper introduces and analyzes a linear minimum mean square error (LMMSE) estimator using a Rician noise model and its recursive version (RLMMSE) for the restoration ...
Santiago Aja-Fernández, Marc Niethammer, Ma...
SIGIR
2012
ACM
11 years 6 months ago
TFMAP: optimizing MAP for top-n context-aware recommendation
In this paper, we tackle the problem of top-N context-aware recommendation for implicit feedback scenarios. We frame this challenge as a ranking problem in collaborative filterin...
Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, ...