Shaorong Feng

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Deep learning architecture has been applied in computer vision to learn features in an unsupervised manner. Thousands of features can be achieved in such manner. Furthermore, in some modified architectures, multi-scale features which contain middle layer features and output layer features, can connect to classifier. The classifier is trained using these(More)
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