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SGAI
2005
Springer
15 years 8 months ago
The Effect of Principal Component Analysis on Machine Learning Accuracy with High Dimensional Spectral Data
This paper presents the results of an investigation into the use of machine learning methods for the identification of narcotics from Raman spectra. The classification of spectr...
Tom Howley, Michael G. Madden, Marie-Louise O'Conn...
SEM
2004
Springer
15 years 8 months ago
Experience with Lightweight Distributed Component Technologies in Business Intelligence Systems
Business Intelligence (BI) systems address the demands of large scale enterprises for operational analytics, management information and decision support tasks. Building such applic...
Leticia Duboc, Tony Wicks, Wolfgang Emmerich
SOFSEM
2009
Springer
15 years 7 months ago
Can Component/Service-Based Systems Be Proved Correct?
Component-oriented and service-oriented approaches have gained a strong enthusiasm in industries and academia with a particular interest for service-oriented approaches. The servic...
Christian Attiogbé
PAMI
2010
168views more  PAMI 2010»
15 years 1 months ago
Nonnegative Least-Correlated Component Analysis for Separation of Dependent Sources by Volume Maximization
—Although significant efforts have been made in developing nonnegative blind source separation techniques, accurate separation of positive yet dependent sources remains a challen...
Fa-Yu Wang, Chong-Yung Chi, Tsung-Han Chan, Yue Wa...
ECBS
2011
IEEE
271views Hardware» more  ECBS 2011»
14 years 2 months ago
MoPED: A Model-Based Provisioning Engine for Dependability in Component-Based Distributed Real-Time Embedded Systems
—Developing dependable distributed real-time and embedded (DRE) systems incurs significant complexities in the tradeoffs resulting from the different conflicting attributes of ...
Sumant Tambe, Akshay Dabholkar, Aniruddha S. Gokha...