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» Robust mixtures in the presence of measurement errors
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BMCBI
2005
127views more  BMCBI 2005»
9 years 1 months ago
Are scale-free networks robust to measurement errors?
Background: Many complex random networks have been found to be scale-free. Existing literature on scale-free networks has rarely considered potential false positive and false nega...
Nan Lin, Hongyu Zhao
TNN
2010
216views Management» more  TNN 2010»
8 years 8 months ago
Simplifying mixture models through function approximation
Finite mixture model is a powerful tool in many statistical learning problems. In this paper, we propose a general, structure-preserving approach to reduce its model complexity, w...
Kai Zhang, James T. Kwok
AEI
2015
3 years 9 months ago
Robust system identification and model predictions in the presence of systematic uncertainty
Context: Model-based data-interpretation techniques are increasingly used to improve the knowledge of complex system behavior. Physics-based models that are identiļ¬ed using meas...
Romain Pasquier, Ian F. C. Smith
CVPR
2008
IEEE
10 years 3 months ago
Unsupervised estimation of segmentation quality using nonnegative factorization
We propose an unsupervised method for evaluating image segmentation. Common methods are typically based on evaluating smoothness within segments and contrast between them, and the...
Roman Sandler, Michael Lindenbaum
ICIAP
2007
ACM
9 years 7 months ago
Robust Face Matching Under Large Occlusions
Outliers due to occlusions and contrast and offset signal deviations notably hinder recognition and retrieval of facial images. We propose a new maximum likelihood matching score ...
Georgy L. Gimel'farb, Patrice Delmas, John Morris,...
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