Unsupervised domain adaptation classification method based on inter-class matching
An unsupervised, domain technology that is used in instruments, character and pattern recognition, computer components, etc. to solve problems such as poor classification performance
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[0054] The specific steps of the unsupervised domain adaptive classification method based on inter-class matching of the present invention are as follows:
[0055] Step 1: For a given N labeled source image field data The label representing the i-th data is For a given M unlabeled target image field data Assume for with The data have obvious distribution differences, but share a category space.
[0056] Define the sample matrix of the source image field The corresponding label vector is The sample matrix of the target image field is We aim to design a feed-forward model structure, learn the transfer characteristics of the source domain and target domain samples, and use a robust classifier to give unlabeled target domain samples X t Assign label y t . Specifically, for an unlabeled sample Learn transfer features through a mapping function f(·) Realize adaptive matching of the same category between domains. The process can be expressed as Among them, P represents the para...
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