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AMCS
2008
146views Mathematics» more  AMCS 2008»
15 years 4 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, ...
JBI
2007
122views Bioinformatics» more  JBI 2007»
15 years 4 months ago
A framework for information system usage in collaborative care
Clinical information systems (CIS) can affect the quality of patient care. In this paper, we focus on CIS use in the collaborative treatment of chronic diseases. We have develope...
David A. Dorr, Spencer S. Jones, Adam B. Wilcox
NSF
1994
Springer
15 years 8 months ago
Physics in a Fantasy World vs. Robust Statistical Estimation
Deformable models in the \physically-based" paradigm are almost always formulated in an ad-hoc fashion, not related to physical reality { they apply the equations on physics i...
Terrance E. Boult, Samuel D. Fenster, Thomas O'Don...
140
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DBPL
2007
Springer
103views Database» more  DBPL 2007»
15 years 8 months ago
Datalog Programs over Infinite Databases, Revisited
Traditionally, infinite databases were studied as a data model for queries that may contain function symbols (since functions may be expressed as infinite relations). Recently, th...
Sara Cohen, Joseph Gil, Evelina Zarivach
ACCV
2006
Springer
15 years 8 months ago
Key Frame-Based Activity Representation Using Antieigenvalues
Many activities may be characterized by a sequence of key frames that are related to important changes in motion rather than dominant characteristics that persist over a long seque...
Naresh P. Cuntoor, Rama Chellappa