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Can I read Topological Principal Component Analysis for Face Encoding and Recognition on EtoBox?
Topological Principal Component Analysis for Face Encoding and Recognition by Albert Pujol; Jordi Vitrià; Felipe Lumbreras; Juan J Villanueva is a Computer Science article available to read on EtoBox.
What is Topological Principal Component Analysis for Face Encoding and Recognition about?
Principal component analysis (PCA)-like methods make use of an estimation of the covariances between sample variables. This estimation does not take into account their topological relationships. This paper proposes how to use these relationships in order to estimate the covariances in a more robust way. The new method topological principal component analysis (TPCA) is tested using both face encoding and recognition experiments showing how the generalization capabilities of PCA are improved.
Who reads Topological Principal Component Analysis for Face Encoding and Recognition?
It is typically read by researchers, students, and practitioners in Computer Science.
- Author
- Albert Pujol; Jordi Vitrià; Felipe Lumbreras; Juan J Villanueva
- Publisher
- Elsevier Science; Elsevier ; Elsevier BV (ISSN 0167-8655)
- Published
- 2001
- Language
- EN
- Field
- Computer Science (Physical Sciences)