Zero-Shot Classification with Discriminative Semantic Representation Learning
CVPR, pp. 5103-5111, 2017.
Zero-shot learning, a special case of unsupervised domain adaptation where the source and target domains have disjoint label spaces, has become increasingly popular in the computer vision community. In this paper, we propose a novel zero-shot learning method based on discriminative sparse non-negative matrix factorization. The proposed ap...More
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