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IPCV
2008
13 years 6 months ago
Face Recognition using PCA and LDA with Singular Value Decomposition (SVD)
Linear Discriminant Analysis(LDA) is well-known scheme for feature extraction and dimension reduction. It has been used widely in many applications involving high-dimensional data,...
Neeta Nain, Nitish Agarwal, Prashant Gour, Rakesh ...
MVA
2007
170views Computer Vision» more  MVA 2007»
13 years 6 months ago
Adaptive Modified PCA for Face Recognition
In many real-world applications such as face recognition and mobile robotics, we need to use an adaptive version of feature extraction techniques. In this paper, we introduce an a...
Youness Aliyari Ghassabeh, Hamid Abrishami Moghadd...
GECCO
2005
Springer
186views Optimization» more  GECCO 2005»
13 years 10 months ago
Subproblem optimization by gene correlation with singular value decomposition
Several ways of using singular value decomposition (SVD), a linear algebra technique typically used for information retrieval, to decompose problems into subproblems are investiga...
Jacob G. Martin
CIVR
2008
Springer
166views Image Analysis» more  CIVR 2008»
13 years 6 months ago
Non-negative matrix factorisation for object class discovery and image auto-annotation
In information retrieval, sub-space techniques are usually used to reveal the latent semantic structure of a data-set by projecting it to a low dimensional space. Non-negative mat...
Jiayu Tang, Paul H. Lewis