1601 search results - page 58 / 321 » Closed Sets for Labeled Data |
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...
109
click to vote
KDD
2007
ACM
16 years 7 days ago
2007
ACM
We focus on large graphs where nodes have attributes, such as a social network where the nodes are labelled with each person's job title. In such a setting, we want to find s...
ICDM
2009
IEEE
14 years 9 months ago
2009
IEEE
There are many clustering tasks which are closely related in the real world, e.g. clustering the web pages of different universities. However, existing clustering approaches neglec...
100
click to vote
JMIV
2010
14 years 10 months ago
2010
Shape estimation and object reconstruction are common problems in image analysis. Mathematically, viewing objects in the image plane as random sets reduces the problem of shape es...
108
click to vote
EMNLP
2009
14 years 9 months ago
2009
Bootstrapping is the process of improving the performance of a trained classifier by iteratively adding data that is labeled by the classifier itself to the training set, and retr...