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Among ensemble learning methods, stacking with a meta-level classifier is frequently adopted to fuse the output of multiple base-level classifiers and generate a final score. Labeled data is usually split for basetraining and meta-training, so that the meta-level learning is not impacted by over-fitting of base level classifiers on their training data. We propose a novel knowledge-transfer framework...
Within the statistical decision theory framework, This paper focuses on specific objectives in face recognition, and proposes the BP neural network classification methods which is under the Linex loss function, and proves that the convergence of BP neural network under the Linex loss function. The image recognition experiments with the ORL face database in Cambridge show that this method can effectively...
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