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Recent research in piecewise linear regression for Super-Resolution has shown the positive impact of training regressors with densely populated clusters whose datapoints are tight in the Euclidean space. In this paper we further research how to improve the locality condition during the training of regressors and how to better select them during testing time. We study the characteristics of the metrics...
This technical note is concerned with the structural sequence detectability problem in Free Choice Interpreted Petri nets, i.e., with the possibility of recovering the firing transition sequence in Free Choice Interpreted Petri nets using the output information when the initial marking is unknown. Based on the Free Choice Interpreted Petri net structure, three relationships are proposed which are...
In this article, a virtual environment for realistic testing and training of face detection and recognition systems under uncontrolled conditions is proposed. The key elements of this tool are a simulator and real face and background images taken under real-world conditions with different acquisition conditions. Inside the simulated environment, an observing agent, the one with the ability to recognize...
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