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» Using a neural net to instantiate a deformable model
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CVPR
2009
IEEE
16 years 4 months ago
Multiphase Geometric Couplings for the Segmentation of Neural Processes
The ability to constrain the geometry of deformable models for image segmentation can be useful when information about the expected shape or positioning of the objects in a scene i...
Amelio Vázquez Reina, Eric Miller, Hanspete...
125
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ICSEA
2009
IEEE
14 years 7 months ago
Validation of Scenario-Based Business Requirements with Coloured Petri Nets
A scenario can be used to describe a possible instantiation of a given business use case and can be expressed for example as a list of steps written in natural language, or by an ...
Óscar R. Ribeiro, João M. Fernandes
GECCO
2007
Springer
212views Optimization» more  GECCO 2007»
15 years 3 months ago
A developmental model of neural computation using cartesian genetic programming
The brain has long been seen as a powerful analogy from which novel computational techniques could be devised. However, most artificial neural network approaches have ignored the...
Gul Muhammad Khan, Julian F. Miller, David M. Hall...
WSC
2000
14 years 10 months ago
Model abstraction for discrete event systems using neural networks and sensitivity information
STRACTION FOR DISCRETE EVENT SYSTEMS USING NEURAL NETWORKS AND SENSITIVITY INFORMATION Christos G. Panayiotou Christos G. Cassandras Department of Manufacturing Engineering Boston ...
Christos G. Panayiotou, Christos G. Cassandras, We...
ICANN
2001
Springer
15 years 1 months ago
The Importance of Representing Cognitive Processes in Multi-agent Models
We distinguish between two main types of model: predictive and explanatory. It is argued (in the absence of models that predict on unseen data) that in order for a model to increas...
Bruce Edmonds, Scott Moss