Flexible Adaptive Graph Embedding for Semi-supervised Dimension Reduction

Hebing Nie; Qun Wu; Haifeng Zhao; Weiping Ding; Muhammet Deveci

doi:10.1016/j.inffus.2023.101872

ScienceGate Book Chapters

JOURNAL ARTICLE

Flexible Adaptive Graph Embedding for Semi-supervised Dimension Reduction

Hebing Nie Qun Wu Haifeng Zhao Weiping Ding Muhammet Deveci

Year: 2023 Journal: Information Fusion Vol: 99 Pages: 101872-101872 Publisher: Elsevier BV

DOI: 10.1016/j.inffus.2023.101872

Get Full-Text PDF Get Analytical Report

Keywords:

Dimensionality reduction Nonlinear dimensionality reduction Embedding Graph embedding Computer science Graph Data point Cluster analysis Locality Artificial intelligence Pattern recognition (psychology) Mathematics Theoretical computer science

Metrics

Cited By

1.46

FWCI (Field Weighted Citation Impact)

Refs

0.79

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Face and Expression Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Image and Video Retrieval Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Text and Document Classification Technologies

Physical Sciences → Computer Science → Artificial Intelligence

Flexible Adaptive Graph Embedding for Semi-supervised Dimension Reduction

Metrics

Citation History

Topics

Related Documents

Learning Flexible Graph-Based Semi-Supervised Embedding

Flexible Manifold Embedding: A Framework for Semi-Supervised and Unsupervised Dimension Reduction

Robust and Flexible Graph-based Semi-supervised Embedding

Discriminative Projection Learning With Adaptive Reversed Graph Embedding for Supervised and Semi-Supervised Dimensionality Reduction

Semi-Supervised Classification with Adaptive High-Order Graph Embedding