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» Robust maximum likelihood estimation in Q-space MRI
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CSDA
2010
157views more  CSDA 2010»
14 years 9 months ago
Robust estimation of constrained covariance matrices for confirmatory factor analysis
Confirmatory factor analysis (CFA) is a data anylsis procedure that is widely used in social and behavioral sciences in general and other applied sciences that deal with large qua...
E. Dupuis Lozeron, M. P. Victoria-Feser
86
Voted
CVPR
2012
IEEE
12 years 12 months ago
Robust camera self-calibration from monocular images of Manhattan worlds
We focus on the detection of orthogonal vanishing points using line segments extracted from a single view, and using these for camera self-calibration. Recent methods view this pr...
Horst Wildenauer, Allan Hanbury
BMCBI
2008
103views more  BMCBI 2008»
14 years 9 months ago
Parameter estimation for robust HMM analysis of ChIP-chip data
Background: Tiling arrays are an important tool for the study of transcriptional activity, proteinDNA interactions and chromatin structure on a genome-wide scale at high resolutio...
Peter Humburg, David Bulger, Glenn Stone
ICIAP
2007
ACM
15 years 3 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,...
ICASSP
2008
IEEE
15 years 3 months ago
A novel a priori SNR estimation approach based on selective cepstro-temporal smoothing
While state-of-the-art approaches obtain an estimate of the a priori SNR by adaptively smoothing its maximum likelihood estimate in the frequency domain, we selectively smooth the...
Colin Breithaupt, Timo Gerkmann, Rainer Martin