2 Result(s)
within
Conference Paper
Meixiang Xu
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Chapter and Conference Paper
Unsupervised Multi-view Subspace Learning via Maximizing Dependence
The recent years have witnessed the great significance of learning from multi-view data in real-world tasks, such as clustering, classification and retrieval. In this paper, we propose an unsupervised dependen...
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Chapter and Conference Paper
Robust Multi-label Image Classification with Semi-Supervised Learning and Active Learning
Most existing work on multi-label learning focused on supervised learning which requires manual annotation samples that is labor-intensive, time-consuming and costly. To address such a problem, we present a no...
