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This paper addresses the problem of transferring CNNs pre-trained for face recognition to a face attribute prediction task. To transfer an off-the-shelf CNN to a novel task, a typical solution is to fine-tune the network towards the novel task. As demonstrated in the state-of-the-art face attribute prediction approach, fine-tuning the high-level CNN hidden layer by using labeled attribute data leads...
In order to improve the machining accuracy and production efficiency of face gear, a generating grinding method for face gear using cubic boron nitride (CBN) wheel is studied in this paper. The mathematical model of the CBN wheel profile is derived based on face gear grinding principle and theory of gearing. Taking the demands of machine motion during face gear grinding into account, a five-axis face...
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