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BMCBI
2008
171views more  BMCBI 2008»
15 years 6 months ago
A general approach to simultaneous model fitting and variable elimination in response models for biological data with many more
Background: With the advent of high throughput biotechnology data acquisition platforms such as micro arrays, SNP chips and mass spectrometers, data sets with many more variables ...
Harri T. Kiiveri
DAGSTUHL
2006
15 years 8 months ago
Model Transformation Technologies in the Context of Modelling Software Systems
Programming technologies have improved continuously during the last decades, but from an Information Systems perspective, some well-known problems associated to the design and impl...
Oscar Pastor
CP
2003
Springer
15 years 12 months ago
Approximated Consistency for Knapsack Constraints
Knapsack constraints are a key modeling structure in discrete optimization and form the core of many real-life problem formulations. Only recently, a cost-based filtering algorit...
Meinolf Sellmann
AAAI
2004
15 years 8 months ago
The Practice of Approximated Consistency for Knapsack Constraints
Knapsack constraints are a key modeling structure in discrete optimization and form the core of many real-life problem formulations. Only recently, a cost-based filtering algorith...
Meinolf Sellmann
CVPR
2010
IEEE
15 years 9 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