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» Statistical signal processing approaches to fault detection
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ICDM
2006
IEEE
131views Data Mining» more  ICDM 2006»
14 years 1 months ago
A Maximum Likelihood Approach to Noise Estimation for Intensity Measurements in Biology
Often, measurement of biological components generates results, that are corrupted by noise. Noise can be caused by various factors like the detectors themselves, sample properties...
Frank Klawonn, Claudia Hundertmark, Lothar Jä...
ICASSP
2011
IEEE
12 years 11 months ago
A Bayesian marked point process for object detection. Application to muse hyperspectral data
Marked point processes have received a great attention in the recent years, for their ability to extract objects in large data sets as those obtained in biological studies or hype...
Florent Chatelain, Aude Costard, Olivier J. J. Mic...
ICIP
2003
IEEE
14 years 1 months ago
A general framework for designing image processing algorithms for coherent polarimetric images
We describe a general framework to design optimal image processing algorithms for polarimetric images formed with coherent radiations, which can be optical or microwave. Starting ...
François Goudail, Frédéric Ga...
ICIP
2006
IEEE
14 years 9 months ago
Model-Free, Statistical Detection and Tracking of Moving Objects
A novel statistical approch for detection and tracking of objects is presented here, which uses both edge and color information in a particle filter. The approach does not need an...
Mark Ross
ICES
2005
Springer
176views Hardware» more  ICES 2005»
14 years 1 months ago
Consensus-Based Evaluation for Fault Isolation and On-line Evolutionary Regeneration
While the fault repair capability of Evolvable Hardware (EH) approaches have been previously demonstrated, further improvements to fault handling capability can be achieved by exp...
Kening Zhang, Ronald F. DeMara, Carthik A. Sharma