Abstract
This paper is devoted to present the stochastic stability analysis of a novel PSO version, the aligned PSO, and its application to the face recognition problem using supervised learning techniques. Its application to the ORL database provides 100% median identification accuracy over 100 independent runs.
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Fernández-Martínez, J.L., Cernea, A., García-Gonzalo, E., Velasco, J., Panigrahi, B.K. (2013). Aligned PSO for Optimization of Image Processing Methods Applied to the Face Recognition Problem. In: Panigrahi, B.K., Suganthan, P.N., Das, S., Dash, S.S. (eds) Swarm, Evolutionary, and Memetic Computing. SEMCCO 2013. Lecture Notes in Computer Science, vol 8297. Springer, Cham. https://doi.org/10.1007/978-3-319-03753-0_57
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DOI: https://doi.org/10.1007/978-3-319-03753-0_57
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-03752-3
Online ISBN: 978-3-319-03753-0
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