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» Parameter-Variation-Aware Analysis for Noise Robustness
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ICIAR
2010
Springer
13 years 11 months ago
Segmentation Based Noise Variance Estimation from Background MRI Data
Accurate and precise estimation of the noise variance is often of key importance as an input parameter for posterior image processing tasks. In MR images, background data is well s...
Jeny Rajan, Dirk Poot, Jaber Juntu, Jan Sijbers
BMCBI
2008
95views more  BMCBI 2008»
13 years 7 months ago
Unsupervised reduction of random noise in complex data by a row-specific, sorted principal component-guided method
Background: Large biological data sets, such as expression profiles, benefit from reduction of random noise. Principal component (PC) analysis has been used for this purpose, but ...
Joseph W. Foley, Fumiaki Katagiri
PAMI
2012
11 years 10 months ago
A Blur-Robust Descriptor with Applications to Face Recognition
—Understanding the effect of blur is an important problem in unconstrained visual analysis. We address this problem in the context of image-based recognition, by a fusion of imag...
Raghuraman Gopalan, Sima Taheri, Pavan K. Turaga, ...
ICASSP
2010
IEEE
13 years 7 months ago
Guaranteed robust distributed estimation in a network of sensors
This paper proposes a guaranteed robust bounded-error distributed estimation algorithm. It may be employed to perform parameter estimation from data collected in a network of wire...
Jean-Benoist Leger, Michel Kieffer
ICASSP
2011
IEEE
12 years 11 months ago
A VAD-robust Multichannel Wiener Filter algorithm for noise reduction in hearing aids
The Speech Distortion Weighted Multichannel Wiener Filter (SDWMWF) is a promising multi-microphone noise reduction technique, in particular for hearing aid applications. Its beneï...
Bram Cornelis, Marc Moonen, Jan Wouters