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» Semi-automatic Modeling by Constraint Acquisition
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CAV
2009
Springer
134views Hardware» more  CAV 2009»
14 years 8 months ago
Predecessor Sets of Dynamic Pushdown Networks with Tree-Regular Constraints
Abstract. Dynamic Pushdown Networks (DPNs) are a model for parallel programs with (recursive) procedures and process creation. The goal of this paper is to develop generic techniqu...
Alexander Wenner, Markus Müller-Olm, Peter La...
ICIP
2003
IEEE
14 years 9 months ago
Statistical atlas-based sub-voxel segmentation of 3D brain MRI
We present a 3D brain MRI segmentation method in which a high resolution label image evolves under the influence of multiple constraints. The constraints are expressed in a versat...
Marcel Bosc, Fabrice Heitz, Jean-Paul Armspach
ACL
1994
13 years 9 months ago
Acquiring Receptive Morphology: A Connectionist Model
This paper describes a modular connectionist model of the acquisition of receptive inflectional morphology. The model takes inputs in the form of phones one at a time and outputs ...
Michael Gasser
EH
1999
IEEE
351views Hardware» more  EH 1999»
14 years 2 days ago
Evolvable Hardware or Learning Hardware? Induction of State Machines from Temporal Logic Constraints
Here we advocate an approach to learning hardware based on induction of finite state machines from temporal logic constraints. The method involves training on examples, constraint...
Marek A. Perkowski, Alan Mishchenko, Anatoli N. Ch...
ICIP
2002
IEEE
14 years 9 months ago
Unsupervised detection of contours using a statistical model
In this paper, we describe an unsupervised segmentation method for contours which proves quite adapted for the images obtained by electronic acquisition. We present two statistica...
François Destrempes, Max Mignotte