Spectral Regression for Efficient Regularized Subspace Learning

Matrix computations

1983 • 31,414 citations

The Elements of Statistical Learning

2001 • 24,302 citations

Pattern Classification

2012 • 20,094 citations

The Elements of Statistical Learning: Data Mining, Inference, and Prediction

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Nonlinear Dimensionality Reduction by Locally Linear Embedding

2000 • 14,624 citations

Eigenfaces for Recognition

1991 • 13,843 citations

A Global Geometric Framework for Nonlinear Dimensionality Reduction

2000 • 13,279 citations

Eigenfaces vs. Fisherfaces: recognition using class specific linear projection

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Spectral Graph Theory

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Pattern Classification

2001 • 5,588 citations

Laplacian Eigenmaps and Spectral Techniques for Embedding and Clustering

2002 • 4,467 citations

A generalized inverse for matrices

1955 • 4,215 citations

Face recognition using Laplacianfaces

2005 • 3,297 citations

Acquiring linear subspaces for face recognition under variable lighting

2005 • 2,425 citations

Regularized Discriminant Analysis

1989 • 2,224 citations

Visual learning and recognition of 3-d objects from appearance

1995 • 1,933 citations

Neighborhood preserving embedding

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Regularized Discriminant Analysis

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Algorithm 583: LSQR: Sparse Linear Equations and Least Squares Problems

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SRDA: An Efficient Algorithm for Large-Scale Discriminant Analysis

2007 • 450 citations

Matrix Algorithms

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Matrix Algorithms

2001 • 393 citations

Graph Embedding: A General Framework for Dimensionality Reduction

2005 • 322 citations

Matrix Algorithms, Volume II: Eigensystems

2003 • 302 citations

Graph Embeddings and Laplacian Eigenvalues

2000 • 64 citations

Continuous nonlinear dimensionality reduction by kernel eigenmaps

2003 • 61 citations

Spectral Regression for Dimensionality Reduction

2007 • 61 citations