Multi-view dimensionality reduction via harmonic function

Abstract

Based on Multiple View Semi-supervised Dimensionality Reduction (MVSSDR), this thesis will propose Multiple View Dimensionality Reduction via Harmonic Function (MVDRHF), which substitutes the soft label gained in the harmonic-function-based label propagation technique for the link information in MVSSDR, thus avoids the transformation from label information to link information to preserve the prior information as much as possible and finally guarantee better dimensionality reduction power.