4 citations · 6 across the 3 of their papers we have counts for
3 papers
Q-learning optimization in a multi-agents system for image segmentation
Issam Qaffou, Mohamed Sadgal, Abdelaziz Elfazziki
To know which operators to apply and in which order, as well as attributing good values to their parameters is a challenge for users of computer vision. This paper proposes a solut…
A New Automatic Method to Adjust Parameters for Object Recognition
Issam Qaffou, Mohamed Sadgal, Aziz Elfazziki
To recognize an object in an image, the user must apply a combination of operators, where each operator has a set of parameters. These parameters must be well adjusted in order to…
A Multi-Agents Architecture to Learn Vision Operators and their Parameters
Issam Qaffou, Mohammed Sadgal, Abdelaziz Elfazziki
In a vision system, every task needs that the operators to apply should be « well chosen » and their parameters should be also « well adjusted ». The diversity of operators and the…