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One of the main challenges faced by the current face recognition techniques lies in the difficulties of collecting samples. Fewer samplesper person mean less laborious effort for collecting them, lower cost for storing and processing them. Unfortunately, many reportedface recognition techniques rely heavily on the size and representative of training set, and most of them will suffer serious performancedrop or even fail to work if only one training sample per person is available to the systems. T
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