LDA/QR: an efficient and effective dimension reduction algorithm and its theoretical foundation
- 20 February 2004
- journal article
- research article
- Published by Elsevier in Pattern Recognition
- Vol. 37 (4) , 851-854
- https://doi.org/10.1016/j.patcog.2003.08.006
Abstract
No abstract availableKeywords
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- Structure Preserving Dimension Reduction for Clustered Text Data Based on the Generalized Singular Value DecompositionSIAM Journal on Matrix Analysis and Applications, 2003
- Using discriminant eigenfeatures for image retrievalPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1996