358 search results - page 19 / 72 » Learning from labeled and unlabeled data on a directed graph |
87
Voted
ICASSP
2010
IEEE
14 years 12 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...
137
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CVPR
2009
IEEE
16 years 6 months ago
2009
IEEE
Active learning strategies can be useful when manual labeling
effort is scarce, as they select the most informative
examples to be annotated first. However, for visual category
...
120
click to vote
SDM
2008
SIAM
15 years 1 months ago
2008
SIAM
Multi-label learning refers to the problems where an instance can be assigned to more than one category. In this paper, we present a novel Semi-supervised algorithm for Multi-labe...
92
Voted
CVPR
2005
IEEE
16 years 1 months ago
2005
IEEE
For large scale automatic semantic video characterization, it is necessary to learn and model a large number of semantic concepts. But a major obstacle to this is the insufficienc...
PKDD
2010
Springer
14 years 9 months ago
2010
Springer
Active learning [1] is a branch of Machine Learning in which the learning algorithm, instead of being directly provided with pairs of problem instances and their solutions (their l...