Graph Embedding: A General Framework for Dimensionality Reduction

Nonlinear Dimensionality Reduction by Locally Linear Embedding

2000 • 14,624 citations

A Global Geometric Framework for Nonlinear Dimensionality Reduction

2000 • 13,279 citations

Eigenfaces vs. Fisherfaces: recognition using class specific linear projection

1997 • 11,565 citations

Introduction to Statistical Pattern Recognition

1990 • 11,327 citations

Principal Component Analysis

1988 • 8,927 citations

Principal Component Analysis

1986 • 7,864 citations

Spectral Graph Theory

1996 • 6,112 citations

Face recognition using eigenfaces

2002 • 5,370 citations

Laplacian Eigenmaps and Spectral Techniques for Embedding and Clustering

2002 • 4,467 citations

An introduction to kernel-based learning algorithms

2001 • 3,454 citations

PCA versus LDA

2001 • 3,154 citations

A direct LDA algorithm for high-dimensional data — with application to face recognition

2001 • 1,587 citations

A kernel view of the dimensionality reduction of manifolds

2004 • 548 citations

Dual-space linear discriminant analysis for face recognition

2004 • 452 citations

Kernel Discriminant Analysis.

1983 • 209 citations

Kernel Discriminant Analysis.

1983 • 112 citations

Discriminant Analysis on Embedded Manifold

2004 • 23 citations