Theoretical framework in graph embedding-based discriminant dimensionality reduction

Guodong Zhao; Zhiyong Zhou; Junming Zhang

doi:10.1016/j.sigpro.2021.108289

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Theoretical framework in graph embedding-based discriminant dimensionality reduction

Guodong Zhao Zhiyong Zhou Junming Zhang

Year: 2021 Journal: Signal Processing Vol: 189 Pages: 108289-108289 Publisher: Elsevier BV

DOI: 10.1016/j.sigpro.2021.108289

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Keywords:

Dimensionality reduction Embedding Discriminative model Discriminant Curse of dimensionality Graph Graph embedding Linear discriminant analysis Artificial intelligence Mathematics Margin (machine learning) Selection (genetic algorithm) Pattern recognition (psychology) Computer science Machine learning Algorithm Theoretical computer science

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Face and Expression Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Graph Neural Networks

Physical Sciences → Computer Science → Artificial Intelligence

Advanced Computing and Algorithms

Social Sciences → Social Sciences → Urban Studies

Theoretical framework in graph embedding-based discriminant dimensionality reduction

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