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» Combining Simple Models to Approximate Complex Dynamics
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CVPR
2010
IEEE
15 years 1 months ago
Ray Markov Random Fields for Image-Based 3D Modeling: Model and Efficient Inference
In this paper, we present an approach to multi-view image-based 3D reconstruction by statistically inversing the ray-tracing based image generation process. The proposed algorithm...
Shubao Liu, David Cooper
CAIP
1995
Springer
137views Image Analysis» more  CAIP 1995»
15 years 1 months ago
Extending the Point Distribution Model Using Polar Coordinates
The Point Distribution Model (PDM) has already proved useful for many tasks involving the location or tracking of deformable objects. A principal limitation lies in the fact that n...
Tony Heap, David Hogg
ICSE
2001
IEEE-ACM
15 years 2 months ago
State, Event, Time and Diagram in System Modeling
The design of complex systems requires powerful mechanisms for modeling state, concurrent events, and real-time behavior; as well as for visualising and structuring systems in ord...
Jin Song Dong
ICASSP
2011
IEEE
14 years 1 months ago
A Bernoulli-Gaussian model for gene factor analysis
This paper investigates a Bayesian model and a Markov chain Monte Carlo (MCMC) algorithm for gene factor analysis. Each sample in the dataset is decomposed as a linear combination...
Cecile Bazot, Nicolas Dobigeon, Jean-Yves Tournere...
SIGMOD
2009
ACM
158views Database» more  SIGMOD 2009»
15 years 10 months ago
Simplifying XML schema: effortless handling of nondeterministic regular expressions
Whether beloved or despised, XML Schema is momentarily the only industrially accepted schema language for XML and is unlikely to become obsolete any time soon. Nevertheless, many ...
Geert Jan Bex, Wouter Gelade, Wim Martens, Frank N...