Discriminating classes collapsing for Globality and Locality Preserving Projections

In this paper, a novel approach, namely Globality and Locality Preserving Projections (GLPP), is proposed in the study of dimensionality reduction. The method is designed to combine the ideas behind Locality Preserving (LP), Discriminating Power (DP) and Maximally Collapsing Metric Learning (MCML),...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Wei Wang, Baogang Hu, Zengfu Wang
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Computer architecture Dimensionality reduction Eigenvalues and eigenfunctions Geometry GPU Graphics processing unit manifold learning Maximally Collapsing Metric Learning (MCML) Measurement Probability Training Visualization
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