711 search results - page 39 / 143 » Applying Support Vector Machines to Imbalanced Datasets |
PR
2008
13 years 9 months ago
2008
Video object (VO) extraction is of great importance in multimedia processing. In recent years approaches have been proposed to deal with VO extraction as a classification problem....
ICPR
2004
IEEE
14 years 10 months ago
2004
IEEE
The Scanning N-Tuple classifier (SNT) is a fast and accurate method for classifying sequences. Applications include both on-line and off-line hand-written character recognition. S...
ICNC
2005
Springer
14 years 2 months ago
2005
Springer
The Support vector machines derive the class decision hyper planes from a few, selected prototypes, the support vectors (SVs) according to the principle of structure risk minimizat...
ICPR
2008
IEEE
14 years 3 months ago
2008
IEEE
When linear support vector machines (SVMs) are applied to multi-class text categorization in industry, the size of the linear SVM model is very large, usually greater than several...
ICTAI
2007
IEEE
14 years 3 months ago
2007
IEEE
The classification of graph based objects is an important challenge from a knowledge discovery standpoint and has attracted considerable attention recently. In this paper, we pres...