Euler principal component analysis

DOI10.1007/s11263-012-0558-zzbMath1259.68178OpenAlexW2015625307MaRDI QIDQ1941735

Georgios Tzimiropoulos, Stephan Liwicki, Maja Pantic, Stefanos P. Zafeiriou

Publication date: 21 March 2013

Published in: International Journal of Computer Vision (Search for Journal in Brave)

Full work available at URL: http://eprints.nottingham.ac.uk/31427/

zbMATH Keywords

trackingonline learningbackground modelingEuler PCArobust subspace

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10)

Related Items (4)

Principal component analysis based on nuclear norm minimization ⋮ Multi-view graph embedding clustering network: joint self-supervision and block diagonal representation ⋮ Traditional and recent approaches in background modeling for foreground detection: an overview ⋮ A comparative study: globality versus locality for graph construction in discriminant analysis

Uses Software

• AR face
• Pfinder

Cites Work

• A framework for robust subspace learning
• Principal component analysis.
• On incremental and robust subspace learning
• A formula for angles between subspaces of inner product spaces
• Sequential Karhunen-Loeve basis extraction and its application to images
• Robust principal component analysis?
• Between-Groups Comparison of Principal Components
• Correntropy: Properties and Applications in Non-Gaussian Signal Processing
• Robust Principal Component Analysis Based on Maximum Correntropy Criterion

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