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» Variability and Component Composition
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ICA
2007
Springer
14 years 3 months ago
Subspaces of Spatially Varying Independent Components in fMRI
Abstract. In contrast to the traditional hypothesis-driven methods, independent component analysis (ICA) is commonly used in functional magnetic resonance imaging (fMRI) studies to...
Jarkko Ylipaavalniemi, Ricardo Vigário
CORR
2010
Springer
163views Education» more  CORR 2010»
13 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...
NN
2000
Springer
177views Neural Networks» more  NN 2000»
13 years 8 months ago
Independent component analysis: algorithms and applications
A fundamental problem in neural network research, as well as in many other disciplines, is finding a suitable representation of multivariate data, i.e. random vectors. For reasons...
Aapo Hyvärinen, Erkki Oja
ICWS
2007
IEEE
13 years 10 months ago
Comparing Web Services with other Software Components
Software metrics is vital for the management of software development, especially when a new technology is adopted and established practices have yet to be developed. As a kind of s...
Yijun Yu, Jianguo Lu, Juan Fernández-Ramil,...
SPLC
2008
13 years 10 months ago
Using Aspects and Component Concepts to Improve Reuse of Software for Embedded Systems Product Lines
Embedded systems have several characteristics, such as application specific needs, real-time constraints and intrinsic embedded concerns (i.e. energy consumption), which hinder th...
Edison Pignaton de Freitas, Marco A. Wehrmeister, ...