1547 search results - page 145 / 310 » Learning a Classification Model for Segmentation |
143
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ACSW
2004
15 years 6 months ago
2004
Creating a robust image classification system depends on having enough data with which one can adequately train and validate the model. If there is not enough available data, this...
146
Voted
DAS
2010
Springer
15 years 6 months ago
2010
Springer
Separating machine printed text and handwriting from overlapping text is a challenging problem in the document analysis field and no reliable algorithms have been developed thus f...
182
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ASIAMS
2007
IEEE
15 years 11 months ago
2007
IEEE
This talk has two parts explaining the significance of Rough sets in granular computing in terms of rough set rules and in uncertainty handling in terms of lower and upper approxi...
166
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ICML
2009
IEEE
16 years 5 months ago
2009
IEEE
Semi-supervised learning (SSL), is classification where additional unlabeled data can be used to improve accuracy. Generative approaches are appealing in this situation, as a mode...
137
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DAWAK
2010
Springer
15 years 5 months ago
2010
Springer
Abstract. This paper addresses a task of variable selection which consists in choosing a subset of variables that is sufficient to predict the target label well. Here instead of tr...