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» A Least-Squares Framework for Component Analysis
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ISCAS
2008
IEEE
169views Hardware» more  ISCAS 2008»
14 years 1 months ago
Sigma-delta learning for super-resolution independent component analysis
— Many source separation algorithms fail to deliver robust performance in presence of artifacts introduced by cross-channel redundancy, non-homogeneous mixing and highdimensional...
Amin Fazel, Shantanu Chakrabartty
PERSUASIVE
2009
Springer
14 years 2 months ago
Communication-based influence components model
This paper discusses problems faced by planners of real-world online behavioural change interventions who must select behavioural change frameworks from a variety of competing the...
Brian Cugelman, Mike Thelwall, Phil Dawes
SSR
2001
134views more  SSR 2001»
13 years 9 months ago
Generation of visitor components that implement program transformations
The visitor pattern is appealing to developers of program-analysis tools because it separates the design of the data structures that represent a program from the design of softwar...
Kurt Stirewalt, Laura K. Dillon
PVM
2005
Springer
14 years 1 months ago
Analysis of the Component Architecture Overhead in Open MPI
Abstract. Component architectures provide a useful framework for developing an extensible and maintainable code base upon which largescale software projects can be built. Component...
Brian Barrett, Jeffrey M. Squyres, Andrew Lumsdain...
CORR
2010
Springer
163views Education» more  CORR 2010»
13 years 7 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...