Weighted and robust learning of subspace representations

DOI10.1016/j.patcog.2006.09.019zbMath1113.68080OpenAlexW2029367025MaRDI QIDQ869051

Aleš Leonardis, Horst Bischof, Danijel Skočaj

Publication date: 26 February 2007

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

Full work available at URL: https://doi.org/10.1016/j.patcog.2006.09.019

zbMATH Keywords

principal component analysisrobust PCArobust learningappearance-based modelingmissing pixelsweighted PCA

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10)

Related Items (1)

Joint sparse principal component analysis

Cites Work

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• A framework for robust subspace learning
• Factorization with uncertainty
• On incremental and robust subspace learning
• Lower Rank Approximation of Matrices by Least Squares with Any Choice of Weights
• Probabilistic Principal Component Analysis

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