222 search results - page 17 / 45 » Push-Pull marginal discriminant analysis for feature extract... |
ICIP
2008
IEEE
14 years 1 months ago
2008
IEEE
—Beyond conventional linear and kernel-based feature extraction, we present a more generalized formulation for feature extraction in this paper. Two representative algorithms usi...
KDD
2006
ACM
14 years 8 months ago
2006
ACM
In many text classification applications, it is appealing to take every document as a string of characters rather than a bag of words. Previous research studies in this area mostl...
AUSAI
2005
Springer
14 years 1 months ago
2005
Springer
All the traditional PCA-based and LDA-based methods are based on the analysis of vectors. So, it is difficult to evaluate the covariance matrices in such a high-dimensional vector ...
SIAMMAX
2010
13 years 2 months ago
2010
Linear Discriminant Analysis (LDA) is one of the most popular approaches for feature extraction and dimension reduction to overcome the curse of the dimensionality of the high-dime...
VLSISP
2002
13 years 7 months ago
2002
Dimensionality reduction is an important problem in pattern recognition. There is a tendency of using more and more features to improve the performance of classifiers. However, not...