A new and fast implementation for null space based linear discriminant analysis

DOI10.1016/j.patcog.2009.10.004zbMath1192.68562OpenAlexW2079130430MaRDI QIDQ962681

Delin Chu, Goh Siong Thye

Publication date: 7 April 2010

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.patcog.2009.10.004

zbMATH Keywords

singular value decompositiondimensionality reductionQR factorizationlinear discriminant analysisnull space based linear discriminant analysis

Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10)

Related Items (7)

A computationally efficient scheme for feature extraction with kernel discriminant analysis ⋮ On general matrix exponential discriminant analysis methods for high dimensionality reduction ⋮ A new perspective to null linear discriminant analysis method and its fast implementation using random matrix multiplication with scatter matrices ⋮ Regularized orthogonal linear discriminant analysis ⋮ Complexity-reduced implementations of complete and null-space-based linear discriminant analysis ⋮ Orthogonal sparse linear discriminant analysis ⋮ Geometric distribution weight information modeled using radial basis function with fractional order for linear discriminant analysis method

Uses Software

• rda
• PRMLT

Cites Work

• Regularized linear discriminant analysis and its application in microarrays
• Regularized discriminant analysis and its application to face recognition
• Principal component analysis.
• An optimal transformation for discriminant and principal component analysis
• Towards a Generalized Singular Value Decomposition
• Generalizing the Singular Value Decomposition
• Structure Preserving Dimension Reduction for Clustered Text Data Based on the Generalized Singular Value Decomposition
• Comparison of Discrimination Methods for the Classification of Tumors Using Gene Expression Data
• Using Linear Algebra for Intelligent Information Retrieval
• OnL₁-Norm Multiclass Support Vector Machines
• Geometric Representation of High Dimension, Low Sample Size Data
• Face recognition based on the uncorrelated discriminant transformation
• A theorem on the uncorrelated optimal discriminant vectors
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: A new and fast implementation for null space based linear discriminant analysis