Convex Multi-view Subspace Learning
@inproceedings{White2012ConvexMS, title={Convex Multi-view Subspace Learning}, author={Martha White and Y. Yu and X. Zhang and Dale Schuurmans}, booktitle={NIPS}, year={2012} }
Subspace learning seeks a low dimensional representation of data that enables accurate reconstruction. However, in many applications, data is obtained from multiple sources rather than a single source (e.g. an object might be viewed by cameras at different angles, or a document might consist of text and images). The conditional independence of separate sources imposes constraints on their shared latent representation, which, if respected, can improve the quality of a learned low dimensional… CONTINUE READING
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