Robust unsupervised subspace learning for visual representation
As the digital technology develops, a large amount of visual data (images and videos) are captured and shared every day in the social media. It is the fact that most data suffer from lack of tags or labels for various reasons, e.g. high labeling cost, etc. To represent the unlabeled visual data, ext...
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| Online Access: | http://hdl.handle.net/2047/D20260457 |