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» Quantitative Models and Implicit Complexity
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ICML
2007
IEEE
14 years 8 months ago
Linear and nonlinear generative probabilistic class models for shape contours
We introduce a robust probabilistic approach to modeling shape contours based on a lowdimensional, nonlinear latent variable model. In contrast to existing techniques that use obj...
Graham McNeill, Sethu Vijayakumar
SAB
2010
Springer
140views Optimization» more  SAB 2010»
13 years 6 months ago
A Model of Symmetry Breaking in Collective Decision-Making
Abstract. Symmetry breaking is commonly found in self-organized collective decision making. It serves an important functional role, specifically in biological and bio-inspired sys...
Heiko Hamann, Bernd Meyer, Thomas Schmickl, Karl C...
ECCV
2006
Springer
14 years 9 months ago
Carved Visual Hulls for Image-Based Modeling
Abstract. This article presents a novel method for acquiring high-quality solid models of complex 3D shapes from multiple calibrated photographs. After the purely geometric constra...
Yasutaka Furukawa, Jean Ponce
MODELS
2009
Springer
14 years 2 months ago
Towards Composite Model Transformations Using Distributed Graph Transformation Concepts
Model-based development of highly complex software systems leads to large models. Storing them in repositories offers the possibility to work with these models in a distributed env...
Stefan Jurack, Gabriele Taentzer
ACAL
2009
Springer
14 years 2 months ago
Multivesicular Assemblies as Real-World Testbeds for Embryogenic Evolutionary Systems
Embryogenic evolution emulates in silico cell-like entities to get more powerful methods for complex evolutionary tasks. As simulations have to from the biological model, implicit ...
Maik Hadorn, Peter Eggenberger Hotz