112 search results - page 13 / 23 » Semi-supervised learning using label mean |
98
Voted
CVPR
2010
IEEE
15 years 7 months ago
2010
IEEE
We address the task of learning a semantic segmentation from weakly supervised data. Our aim is to devise a system that predicts an object label for each pixel by making use of on...
96
Voted
NIPS
2003
15 years 1 months ago
2003
Nonlinear filtering can solve very complex problems, but typically involve very time consuming calculations. Here we show that for filters that are constructed as a RBF network ...
126
Voted
CVPR
2011
IEEE
14 years 6 months ago
2011
IEEE
We propose structured models for image labeling that take into account the dependencies among the image labels explicitly. These models are more expressive than independent label ...
KDD
2009
ACM
15 years 6 months ago
2009
ACM
Many applications in surveillance, monitoring, scientific discovery, and data cleaning require the identification of anomalies. Although many methods have been developed to iden...
103
click to vote
IDA
2005
Springer
15 years 5 months ago
2005
Springer
We consider the problem of learning a ranking function, that is a mapping from instances to rankings over a finite number of labels. Our learning method, referred to as ranking by...