%Aigaion2 BibTeX export from Idiap Publications
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@TECHREPORT{Johansson_Idiap-RR-07-2011,
         author = {Johansson, Niklas and McCool, Chris and Marcel, S{\'{e}}bastien},
       projects = {Idiap, MOBIO},
          month = {3},
          title = {On-line unsupervised adaptation for face verification using Gaussian Mixture Models with multiple user models},
           type = {Idiap-RR},
         number = {Idiap-RR-07-2011},
           year = {2011},
    institution = {Idiap},
       abstract = {In this paper, we present an initial study of on-line
unsupervised adaptation for face verification. To the authors{\^{a}}€™
knowledge this is the first study of this type. The key contributions
consist of four test scenarios for the BANCA database as
well as two novel adaptation strategies that use multiple user
models. We show that by using multiple user models for each
user, we can perform on-line unsupervised adaptation with a
consistent increase in verification performance. Finally, we show
that one of the proposed strategies performs better, or as well as
the baseline, in four test scenarios at all adaptation thresholds
evaluated. This suggests that this strategy is robust against both
changing conditions and inexact thresholds.},
            pdf = {https://publications.idiap.ch/attachments/reports/2010/Johansson_Idiap-RR-07-2011.pdf}
}