543 search results - page 29 / 109 » A PAC-Style Model for Learning from Labeled and Unlabeled Da... |
204
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ECCV
2010
Springer
15 years 11 months ago
2010
Springer
Many learning tasks for computer vision problems can be described by multiple views or multiple features. These views can be exploited in order to learn from unlabeled data, a.k.a....
164
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ICCV
2009
IEEE
16 years 10 months ago
2009
IEEE
Graph-based semi-supervised learning has gained considerable
interests in the past several years thanks to its effectiveness
in combining labeled and unlabeled data through
labe...
185
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ICDM
2009
IEEE
16 years 22 days ago
2009
IEEE
—Typical information extraction (IE) systems can be seen as tasks assigning labels to words in a natural language sequence. The performance is restricted by the availability of l...
147
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ICASSP
2010
IEEE
15 years 6 months ago
2010
IEEE
The goal of semi-supervised image segmentation is to obtain the segmentation from a partially labeled image. By utilizing the image manifold structure in labeled and unlabeled pix...
163
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ICPR
2010
IEEE
15 years 11 months ago
2010
IEEE
—Traditionally, HMM-based approaches to online Kanji handwriting recognition have relied on a hand-made dictionary, mapping characters to primitives such as strokes or substrokes...