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» Introduction to Pattern Recognition
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DAGM
1995
Springer
15 years 7 months ago
Learning Weights in Discrimination Functions Using a priori Constraints
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...
Norbert Krüger
ICML
2010
IEEE
15 years 5 months ago
Learning Fast Approximations of Sparse Coding
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 ...
Karol Gregor, Yann LeCun
IJPRAI
2006
100views more  IJPRAI 2006»
15 years 4 months ago
Nearest Neighbor Discriminant Analysis
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 ...
Xipeng Qiu, Lide Wu
PR
2008
129views more  PR 2008»
15 years 4 months ago
A comparison of generalized linear discriminant analysis algorithms
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...
Cheong Hee Park, Haesun Park
PR
1998
89views more  PR 1998»
15 years 3 months ago
Facial feature detection using geometrical face model: An efficient approach
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...