625 search results - page 96 / 125 » Feature selection methods for text classification |
DAS
2006
Springer
15 years 2 months ago
2006
Springer
Abstract. Automatic identification of a script in a given document image facilitates many important applications such as automatic archiving of multilingual documents, searching on...
120
Voted
ALMOB
2007
14 years 11 months ago
2007
Background: Feature selection plays an undeniably important role in classification problems involving high dimensional datasets such as microarray datasets. For filter-based featu...
106
Voted
ICDAR
2009
IEEE
14 years 8 months ago
2009
IEEE
One of the major challenges in camera document analysis is to deal with the page curl and perspective distortions. In spite of the prevalence of dewarping techniques, no standard ...
AVBPA
2005
Springer
15 years 4 months ago
2005
Springer
A novel nonlinear discriminant analysis method, Kernelized Decision Boundary Analysis (KDBA), is proposed in our paper, whose Decision Boundary feature vectors are the normal vecto...
94
Voted
CVPR
2010
IEEE
15 years 3 months ago
2010
IEEE
Kernel methods provide an efficient mechanism to derive nonlinear algorithms. In classification problems as well as in feature extraction, kernel-based approaches map the original...