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CL
2008
Springer
15 years 4 months ago
Foundations of a simple and unified component-oriented language
Component-orientedprogramming(COP)isactuallyakeyresearchtrackinsoftwareengineering.Avarietyofcomponent-oriented s (COLs) have been proposed with new or adapted abstractions and me...
Luc Fabresse, Christophe Dony, Marianne Huchard
ICPR
2008
IEEE
16 years 5 months ago
Kernel oriented discriminant analysis for speaker-independent phoneme spaces
Speaker independent feature extraction is a critical problem in speech recognition. Oriented principal component analysis (OPCA) is a potential solution that can find a subspace r...
Heeyoul Choi, Ricardo Gutierrez-Osuna, Seungjin Ch...
141
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ACIVS
2008
Springer
15 years 11 months ago
Video-Based Fall Detection in the Home Using Principal Component Analysis
This paper presents the design and real-time implementation of a fall-detection system, aiming at detecting fall incidents in unobserved home situations. The setup employs two fix...
Lykele Hazelhoff, Jungong Han, Peter H. N. de With
PKDD
2004
Springer
155views Data Mining» more  PKDD 2004»
15 years 10 months ago
Ensemble Feature Ranking
A crucial issue for Machine Learning and Data Mining is Feature Selection, selecting the relevant features in order to focus the learning search. A relaxed setting for Feature Sele...
Kees Jong, Jérémie Mary, Antoine Cor...
GPB
2010
231views Solid Modeling» more  GPB 2010»
15 years 1 months ago
Mining Gene Expression Profiles: An Integrated Implementation of Kernel Principal Component Analysis and Singular Value Decompos
The detection of genes that show similar profiles under different experimental conditions is often an initial step in inferring the biological significance of such genes. Visualiz...
Ferran Reverter, Esteban Vegas, Pedro Sánch...