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» The Generalized Dimensionality Reduction Problem
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WEBI
2010
Springer
15 years 8 days ago
DSP: Robust Semi-supervised Dimensionality Reduction Using Dual Subspace Projections
High-dimensional data usually incur learning deficiencies and computational difficulties. We present a novel semi-supervised dimensionality reduction technique that embeds high-dim...
Su Yan, Sofien Bouaziz, Dongwon Lee
ECCV
2004
Springer
16 years 4 months ago
Dimensionality Reduction by Canonical Contextual Correlation Projections
A linear, discriminative, supervised technique for reducing feature vectors extracted from image data to a lower-dimensional representation is proposed. It is derived from classica...
Marco Loog, Bram van Ginneken, Robert P. W. Duin
PR
2008
129views more  PR 2008»
15 years 2 months ago
A comparison of generalized linear discriminant analysis algorithms
7 Linear discriminant analysis (LDA) is a dimension reduction method which finds an optimal linear transformation that maximizes the class separability. However, in undersampled p...
Cheong Hee Park, Haesun Park
ICML
2008
IEEE
16 years 3 months ago
Closed-form supervised dimensionality reduction with generalized linear models
Irina Rish, Genady Grabarnik, Guillermo Cecchi, Fr...