A Simple Label Switching Algorithm for Semisupervised Structural SVMs

Neural Computation, Volume 27, Issue 10, 2015, Pages 2183-2206.

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Abstract:

In structured output learning, obtaining labeled data for real-world applications is usually costly, while unlabeled examples are available in abundance. Semisupervised structured classification deals with a small number of labeled examples and a large number of unlabeled structured data. In this work, we consider semisupervised structura...More

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