IEICE Transactions on Information and Systems · 2017 · 16 citations · 10 references
ComputingComputer ScienceArtificial IntelligenceComputer VisionMachine LearningDeep LearningFace RecognitionPattern RecognitionRepresentation LearningTransfer LearningTransfer TrainingCross-domain TransferDomain AdaptationFeature TransferFine-tuning
Both gender and identity recognition task with hand vein information is solved based on the proposed cross-selected-domain transfer learning model. State-of-the-art recognition results demonstrate the effectiveness of the proposed model for pattern recognition task, and the capability to avoid over-fitting of fine-tuning DCNN with small-scaled database.
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