216 search results - page 5 / 44 » Classifying Documents Without Labels |
ICDAR
2009
IEEE
15 years 6 months ago
2009
IEEE
We present a system that classifies pixels in a document image according to marking type such as machine print, handwriting, and noise. A segmenter module first splits an input ...
107
Voted
ECML
2007
Springer
15 years 5 months ago
2007
Springer
Many real-world classification applications fall into the class of positive and unlabeled (PU) learning problems. In many such applications, not only could the negative training ex...
137
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ICDM
2009
IEEE
14 years 9 months ago
2009
IEEE
The amount of text data on the Internet is growing at a very fast rate. Online text repositories for news agencies, digital libraries and other organizations currently store gigaan...
114
Voted
ECIR
2009
Springer
14 years 9 months ago
2009
Springer
Abstract. Active learning refers to the task of devising a ranking function that, given a classifier trained from relatively few training examples, ranks a set of additional unlabe...
111
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CVPR
2004
IEEE
16 years 1 months ago
2004
IEEE
Object detection with a learned classifier has been applied successfully to difficult tasks such as detecting faces and pedestrians. Systems using this approach usually learn the ...