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Deep learning has achieved great success in face recognition, however deep-learned features still have limited invariance to strong intra-personal variations such as large pose changes. It is observed that some facial attributes (e.g. eyebrow thickness, gender) are robust to such variations. We present the first work to systematically explore how the fusion of face recognition features (FRF) and facial...
The recent literature indicates that preserving local geometric structure of data graph becomes much more important for unsupervised feature selection and that many existing feature selection criteria essentially work in this way. Key to constructing a local geometric structure of data graph is to determine the elements of the similarity matrix from which it is derived. Thus, the performance of feature...
In the process of product design, the combination of cost optimization and standard of robust design has become a key problem. Six sigma tolerance design model is proposed on the basis of dual response surface methodology where response mean equals its target in the target being best. Quality improvement and cost reduction are achieved with the model by minimizing response variance function and total...
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