We introduce a learning algorithm for the weights in a very common class of discrimination functions usually called weighted average". Di erent submodules are produced by som...
In Sparse Coding (SC), input vectors are reconstructed using a sparse linear combination of basis vectors. SC has become a popular method for extracting features from data. For a ...
Linear Discriminant Analysis (LDA) is a popular feature extraction technique in statistical pattern recognition. However, it often suffers from the small sample size problem when ...
7 Linear discriminant analysis (LDA) is a dimension reduction method which finds an optimal linear transformation that maximizes the class separability. However, in undersampled p...
A usefulgeometricalfacemodel and an efficientfacialfeaturedetection approach are proposed. Based on the fact that human facesare constructed in the same geometricalconfiguration, t...
Shi-Hong Jeng, Hong-Yuan Mark Liao, Chin-Chuan Han...