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105
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ICONIP
2007
15 years 2 months ago
Principal Component Analysis for Sparse High-Dimensional Data
Abstract. Principal component analysis (PCA) is a widely used technique for data analysis and dimensionality reduction. Eigenvalue decomposition is the standard algorithm for solvi...
Tapani Raiko, Alexander Ilin, Juha Karhunen
102
Voted
ATVA
2010
Springer
135views Hardware» more  ATVA 2010»
15 years 1 months ago
Probabilistic Contracts for Component-Based Design
Abstract. We define a probabilistic contract framework for the construction of component-based embedded systems, based on the theory of Interactive Markov Chains. A contract specif...
Dana N. Xu, Gregor Gößler, Alain Giraul...
88
Voted
CORR
2010
Springer
124views Education» more  CORR 2010»
15 years 20 days ago
Component Evolution in General Random Intersection Graphs
Abstract. Random intersection graphs (RIGs) are an important random structure with algorithmic applications in social networks, epidemic networks, blog readership, and wireless sen...
Milan Bradonjic, Aric A. Hagberg, Nicolas W. Henga...
88
Voted
JUCS
2008
120views more  JUCS 2008»
15 years 16 days ago
An Adaptation Logic Framework for Java-based Component Systems
Abstract: This paper describes a Java-based framework for developing componentbased software systems supporting adaptation with logic laws and considering component interactions as...
Enrico Oliva, Antonio Natali, Alessandro Ricci, Mi...
ENTCS
2002
105views more  ENTCS 2002»
15 years 11 days ago
Towards component based systems: refining connectors
Component-oriented software development is becoming more and more important for the production of large-scale software applications. Today's systems are constructed by combin...
Matthias Anlauff, Asuman Sünbül