Image feature optimization based on nonlinear dimensionality reduction

DOI10.1631/jzus.A0920310zbMath1211.68493OpenAlexW2395098831MaRDI QIDQ621450

Rong Zhu, Min Yao

Publication date: 2 February 2011

Published in: Journal of Zhejiang University. Science A (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1631/jzus.a0920310

zbMATH Keywords

manifold learningnonlinear dimensionality reductionimage feature optimizationlocally linear embedding (LLE)

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Computing methodologies for image processing (68U10)

Uses Software

• SIMPLIcity

Cites Work

• Principal component analysis.
• 10.1162/153244304322972667
• Laplacian Eigenmaps for Dimensionality Reduction and Data Representation
• A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: Image feature optimization based on nonlinear dimensionality reduction