Semi-supervised Zero-Shot Learning by a Clustering-based Approach

29 May 2016Seyed Mohsen ShojaeeMahdieh Soleymani Baghshah

In some of object recognition problems, labeled data may not be available for all categories. Zero-shot learning utilizes auxiliary information (also called signatures) describing each category in order to find a classifier that can recognize samples from categories with no labeled instance... (read more)

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