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ICIP
2005
IEEE
16 years 8 months ago
A weight-adaptive dynamic model for shape segmentation
Physically based dynamic models are able to describe variable shapes without prior training. Their behaviour to find an object is intuitive, which facilitates corrections of false...
Klaus D. Tönnies, Peter Benedix
MODELS
2009
Springer
16 years 1 months ago
Teaching Object-Oriented Modeling and UML to Various Audiences
This paper summarizes the experience of teaching objectoriented modeling and UML for more than a decade to various audiences (academic or corporate, software developers or not). W...
Sabine Moisan, Jean-Paul Rigault
EMNLP
2009
15 years 4 months ago
Less is More: Significance-Based N-gram Selection for Smaller, Better Language Models
The recent availability of large corpora for training N-gram language models has shown the utility of models of higher order than just trigrams. In this paper, we investigate meth...
Robert C. Moore, Chris Quirk
ICASSP
2008
IEEE
16 years 1 months ago
Controlling the false discovery rate in modeling brain functional connectivity
Graphical models of brain functional connectivity have matured from con rming a priori hypotheses to an exploratory tool for discovering unknown connectivity. However, exploratory...
Junning Li, Z. Jane Wang, Martin J. McKeown
PRDC
2006
IEEE
16 years 18 days ago
Leader Election in the Timed Finite Average Response Time Model
The finite average response time model is a very weak distributed systems model: it permits runs with unbounded transmission and processing delays and it does not bound the relat...
Christof Fetzer, Martin Süßkraut