Comparison of Novel Dimension Reduction Methods in Face Verification

The problem of high dimensionality in face verification tasks has recently been simplified by the use of underlying spatial structures as proposed in the Two Dimensional Principal Component Analysis, the Two Dimensional Linear Discriminant Analysis and the Coupled Subspaces Analysis. Besides, the Sm...

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Bibliographische Detailangaben

Hauptverfasser:	Rodríguez-Aragón, Licesio J., Conde, Cristina, Cabello, Enrique
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Applied sciences Artificial intelligence Computer science control theory systems Dimension Reduction Method Exact sciences and technology Feature Vector Linear Discriminant Analysis Pattern recognition. Digital image processing. Computational geometry Projected Vector Training Image
Online-Zugang:	Volltext
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