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» Computing with abstract matrix structures
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125
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PPOPP
1997
ACM
15 years 7 months ago
LoPC: Modeling Contention in Parallel Algorithms
Parallel algorithm designers need computational models that take first order system costs into account, but are also simple enough to use in practice. This paper introduces the L...
Matthew Frank, Anant Agarwal, Mary K. Vernon
116
Voted
AMCS
2008
146views Mathematics» more  AMCS 2008»
15 years 3 months ago
Fault Detection and Isolation with Robust Principal Component Analysis
Principal component analysis (PCA) is a powerful fault detection and isolation method. However, the classical PCA which is based on the estimation of the sample mean and covariance...
Yvon Tharrault, Gilles Mourot, José Ragot, ...
111
Voted
CSDA
2010
157views more  CSDA 2010»
15 years 3 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
120
Voted
IFIP12
2009
15 years 1 months ago
Mining Patterns of Lung Infections in Chest Radiographs
Chest radiography is a reference standard and the initial diagnostic test performed in patients who present with signs and symptoms suggesting a pulmonary infection. The most commo...
Spyros Tsevas, Dimitrios K. Iakovidis, George Papa...
133
Voted
JCNS
2010
90views more  JCNS 2010»
14 years 10 months ago
Fast Kalman filtering on quasilinear dendritic trees
Optimal filtering of noisy voltage signals on dendritic trees is a key problem in computational cellular neuroscience. However, the state variable in this problem -- the vector of...
Liam Paninski