363 search results - page 34 / 73 » Nonlinear Knowledge-Based Classification |
103
click to vote
TNN
2008
14 years 11 months ago
2008
Abstract--The stationarity requirement for the process generating the data is a common assumption in classifiers' design. When such hypothesis does not hold, e.g., in applicat...
105
click to vote
FGR
2006
IEEE
15 years 3 months ago
2006
IEEE
Non-linear subspaces derived using kernel methods have been found to be superior compared to linear subspaces in modeling or classification tasks of several visual phenomena. Such...
115
click to vote
PR
2008
14 years 11 months ago
2008
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...
ICCS
2004
Springer
15 years 5 months ago
2004
Springer
We consider a kernel-based approach to nonlinear classification that coordinates the generation of “synthetic” points (to be used in the kernel) with “chunking” (working wi...
NIPS
2004
15 years 1 months ago
2004
Linear Discriminant Analysis (LDA) is a well-known method for feature extraction and dimension reduction. It has been used widely in many applications such as face recognition. Re...