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Multiview learning is more robust than single-view learning in many real applications. Canonical correlation analysis (CCA) is a popular technique to utilize information stemming from multiple feature sets. However, it does not exploit label information effectively. Later multiview linear discriminant analysis (MLDA) was proposed through combining CCA and linear discriminant analysis (LDA). Due to...
A new regularization method called tangent space intrinsic manifold regularization is presented, which is intrinsic to data manifold and favors linear functions on the manifold. Fundamental elements involved in its formulation are local tangent space representations which we estimate by local principal component analysis, and the connections which relate adjacent tangent spaces. We exhibit its application...
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