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The single sample per person (SSPP) problem is a great challenge for real-world face recognition systems. In an SSPP scenario, there is always a large gap between a normal sample enrolled in the gallery set and the non-ideal probe sample. In this paper, we propose a new face recognition method, called decision pyramid classifier (DPC), to solve SSPP problems with large appearance variations (e.g.,...
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