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ICML
2004
IEEE
16 years 7 months ago
Automated hierarchical mixtures of probabilistic principal component analyzers
Many clustering algorithms fail when dealing with high dimensional data. Principal component analysis (PCA) is a popular dimensionality reduction algorithm. However, it assumes a ...
Ting Su, Jennifer G. Dy
SEAA
2008
IEEE
16 years 17 days ago
A Compositional Approach to Active and Passive Components
Current software component models lack compositionality. Most of them also do not have both active and passive components. In this paper, we show how we can define a compositiona...
Kung-Kiu Lau, Ioannis Ntalamagkas
FORMATS
2007
Springer
15 years 10 months ago
Partial Order Reduction for Verification of Real-Time Components
Abstract. We describe a partial order reduction technique for a realtime component model. Components are described as timed automata with data ports, which can be composed in stati...
John Håkansson, Paul Pettersson
OTM
2007
Springer
16 years 10 days ago
Multi-stage Aspect-Oriented Composition of Component-Based Applications
Abstract. The creation of distributed applications requires sophisticated compositions, as various components — supporting application logic or non-functional requirements — mu...
Bert Lagaisse, Eddy Truyen, Wouter Joosen
MM
2004
ACM
219views Multimedia» more  MM 2004»
15 years 11 months ago
Multi-level annotation of natural scenes using dominant image components and semantic concepts
Automatic image annotation is a promising solution to enable semantic image retrieval via keywords. In this paper, we propose a multi-level approach to annotate the semantics of n...
Jianping Fan, Yuli Gao, Hangzai Luo