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» Semantic Analysis of Matrix Structures
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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, ...
110
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
113
Voted
BMCBI
2007
150views more  BMCBI 2007»
15 years 3 months ago
Refining intra-protein contact prediction by graph analysis
Background: Accurate prediction of intra-protein residue contacts from sequence information will allow the prediction of protein structures. Basic predictions of such specific con...
Milana Frenkel-Morgenstern, Rachel Magid, Eran Eya...
SG
2007
Springer
15 years 9 months ago
Semantic Information and Local Constraints for Parametric Parts in Interactive Virtual Construction
Abstract. This paper introduces a semantic representation for virtual prototyping in interactive virtual construction applications. The representation reflects semantic information...
Peter Biermann, Christian Fröhlich, Marc Eric...
121
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FM
1999
Springer
107views Formal Methods» more  FM 1999»
15 years 7 months ago
A Formalization of Software Architecture
Software architecture addresses the high level specification, design and analysis of software systems. Formal models can provide essential underpinning for architectural descripti...
John Herbert, Bruno Dutertre, Robert A. Riemenschn...