1253 search results - page 110 / 251 » Feature selection for linear support vector machines |
123
Voted
CORR
2010
Springer
2010
Springer
Offline Signature Identification by Fusion of Multiple Classifiers using Statistical Learning Theory
15 years 3 months ago
This paper uses Support Vector Machines (SVM) to fuse multiple classifiers for an offline signature system. From the signature images, global and local features are extracted and ...
117
Voted
ICIP
2003
IEEE
16 years 5 months ago
2003
IEEE
In this paper we address the problem of classifying images, by exploiting global features that describe color and illumination properties, and by using the statistical learning pa...
124
Voted
CIKM
2009
Springer
15 years 7 months ago
2009
Springer
We describe an efficient technique to weigh word-based features in binary classification tasks and show that it significantly improves classification accuracy on a range of proble...
142
Voted
ICPR
2010
IEEE
15 years 1 months ago
2010
IEEE
This paper is aimed at evaluating the semantic information content of multiscale, low-level image segmentation. As a method of doing this, we use selected features of segmentation...
130
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KI
2007
Springer
15 years 3 months ago
2007
Springer
Detecting unknown worms is a challenging task. Extant solutions, such as anti-virus tools, rely mainly on prior explicit knowledge of specific worm signatures. As a result, after t...