A maximum uncertainty LDA-based approach for limited sample size problems—with application to face recognition
A critical issue of applying Linear Discriminant Analysis (LDA) is both the singularity and
instability of the within-class scatter matrix. In practice, particularly in image recognition …
instability of the within-class scatter matrix. In practice, particularly in image recognition …
[PDF][PDF] A maximum uncertainty LDA-based approach for limited sample size prob-lems–with application to face recognition
CE Thomaz, EC Kitani, DF Gillies - fei.edu.br
A critical issue of applying Linear Discriminant Analysis (LDA) is both the singularity and
instability of the within-class scatter matrix. In practice, particularly in image recognition …
instability of the within-class scatter matrix. In practice, particularly in image recognition …
[PDF][PDF] A maximum uncertainty LDA-based approach for limited sample size problems–with application to face recognition
CE Thomaz, EC Kitani, DF Gillies - journal-bcs.springeropen.com
A critical issue of applying Linear Discriminant Analysis (LDA) is both the singularity and
instability of the within-class scatter matrix. In practice, particularly in image recognition …
instability of the within-class scatter matrix. In practice, particularly in image recognition …
A Maximum Uncertainty LDA-Based Approach for Limited Sample Size Problems—With Application to Face Recognition
CE Thomaz, DF Gillies - Proceedings of the XVIII Brazilian Symposium …, 2005 - dl.acm.org
A critical issue of applying Linear Discriminant Analysis (LDA) is both the singularity and
instability of the within-class scatter matrix. In practice, particularly in image recognition …
instability of the within-class scatter matrix. In practice, particularly in image recognition …
[PDF][PDF] A Maximum Uncertainty LDA-based approach for Limited Sample Size problems–with application to Face Recognition
CE Thomaz, DF Gillies - sibgrapi.sid.inpe.br
A critical issue of applying Linear Discriminant Analysis (LDA) is both the singularity and
instability of the within-class scatter matrix. In practice, particularly in image recognition …
instability of the within-class scatter matrix. In practice, particularly in image recognition …
A maximum uncertainty LDA-based approach for limited sample size problems—with application to face recognition
CE Thomaz, EC Kitani, DF Gillies - Journal of the Brazilian Computer …, 2006 - infona.pl
A critical issue of applying Linear Discriminant Analysis (LDA) is both the singularity and
instability of the within-class scatter matrix. In practice, particularly in image recognition …
instability of the within-class scatter matrix. In practice, particularly in image recognition …
[PDF][PDF] A Maximum Uncertainty LDA-based approach for Limited Sample Size problems–with application to Face Recognition
CE Thomaz, DF Gillies - researchgate.net
A critical issue of applying Linear Discriminant Analysis (LDA) is both the singularity and
instability of the within-class scatter matrix. In practice, particularly in image recognition …
instability of the within-class scatter matrix. In practice, particularly in image recognition …
[引用][C] A Maximum Uncertainty LDA-based approach for Limited Sample Size problems-with application to Face Recognition
CE THOMAZ - Proc. of the 18th Brazilian Symposium on Computer …, 2005 - cir.nii.ac.jp
A Maximum Uncertainty LDA-based approach for Limited Sample Size problems-with
application to Face Recognition | CiNii Research CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ …
application to Face Recognition | CiNii Research CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ …
[PDF][PDF] A maximum uncertainty LDA-based approach for limited sample size problems–with application to face recognition
CE Thomaz, EC Kitani, DF Gillies - academia.edu
A critical issue of applying Linear Discriminant Analysis (LDA) is both the singularity and
instability of the within-class scatter matrix. In practice, particularly in image recognition …
instability of the within-class scatter matrix. In practice, particularly in image recognition …
[PDF][PDF] A Maximum Uncertainty LDA-based approach for Limited Sample Size problems–with application to Face Recognition
CE Thomaz, DF Gillies - doc.ic.ac.uk
A critical issue of applying Linear Discriminant Analysis (LDA) is both the singularity and
instability of the within-class scatter matrix. In practice, particularly in image recognition …
instability of the within-class scatter matrix. In practice, particularly in image recognition …