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IJON
2006
148views more  IJON 2006»
15 years 6 months ago
Spatio-temporal dynamics in fMRI recordings revealed with complex independent component analysis
Abstract. Independent component analysis (ICA) of functional magnetic resonance imaging (fMRI) data is commonly carried out under the assumption that each source may be represented...
Jörn Anemüller, Jeng-Ren Duann, Terrence...
SAS
2010
Springer
172views Formal Methods» more  SAS 2010»
15 years 5 months ago
Deriving Numerical Abstract Domains via Principal Component Analysis
Numerical Abstract Domains via Principal Component Analysis Gianluca Amato, Maurizio Parton, and Francesca Scozzari Universit`a di Chieti-Pescara – Dipartimento di Scienze We pro...
Gianluca Amato, Maurizio Parton, Francesca Scozzar...
ICASSP
2011
IEEE
14 years 10 months ago
A novel vector quantization-based video summarization method using independent component analysis mixture model
In this paper, we present a new independent component analysis mixture vector quantization (ICAMVQ) method to summarize the video content. In particular, independent component ana...
Junfeng Jiang, Xiao-Ping Zhang
PDP
2009
IEEE
16 years 1 months ago
Adding Aspect-Oriented Concepts to the High-Performance Component Model of SBASCO
SBASCO provides a new programming model for parallel and distributed numerical applications which exploits the combination of software components and skeletons. This paper present...
Manuel Díaz, Sergio Romero, Bartolomé...
ISNN
2004
Springer
16 years 2 days ago
Progressive Principal Component Analysis
Abstract. Principal Component Analysis (PCA) is a feature extraction approach directly based on a whole vector pattern and acquires a set of projections that can realize the best r...
Jun Liu, Songcan Chen, Zhi-Hua Zhou