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84
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CORR
2010
Springer
163views Education» more  CORR 2010»
14 years 9 months ago
Distributed Principal Component Analysis for Wireless Sensor Networks
Abstract: The Principal Component Analysis (PCA) is a data dimensionality reduction technique well-suited for processing data from sensor networks. It can be applied to tasks like ...
Yann-Aël Le Borgne, Sylvain Raybaud, Gianluca...
ICCV
2001
IEEE
15 years 11 months ago
Robust Principal Component Analysis for Computer Vision
Principal Component Analysis (PCA) has been widely used for the representation of shape, appearance, and motion. One drawback of typical PCA methods is that they are least squares...
Fernando De la Torre, Michael J. Black
107
Voted
CVPR
2009
IEEE
15 years 29 days ago
Nonlinear Nonnegative Component Analysis
In this paper general solutions for Nonlinear Nonnegative Component Analysis for data representation and recognition are proposed. That is, motivated by a combination of the Nonne...
Stefanos Zafeiriou, Maria Petrou
ICECCS
2005
IEEE
171views Hardware» more  ICECCS 2005»
15 years 3 months ago
Behavior Capture and Test: Automated Analysis of Component Integration
Component-based technology is increasingly adopted to speed up the development of complex software through component reuse. Unfortunately, the lack of complete information about r...
Leonardo Mariani, Mauro Pezzè
ICSE
2010
IEEE-ACM
14 years 11 months ago
Impact analysis for event-based components and systems
In my dissertation, I aim to develop a dependence-based impact analysis technique for event-based systems and eventbased components that communicate via messages. This paper motiv...
Daniel Popescu