Large Margin Semi-supervised Structured Output Learning

arXiv: Learning, 2013.

Cited by: 0|Views51
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Abstract:

In structured output learning, obtaining labelled data for real-world applications is usually costly, while unlabelled examples are available in abundance. Semi-supervised structured classification has been developed to handle large amounts of unlabelled structured data. In this work, we consider semi-supervised structural SVMs with dom...More

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