750 search results - page 125 / 150 » Learning SVMs from Sloppily Labeled Data |
ICML
2006
IEEE
14 years 11 months ago
2006
IEEE
When constructing a classifier from labeled data, it is important not to assign too much weight to any single input feature, in order to increase the robustness of the classifier....
SIGIR
2004
ACM
14 years 4 months ago
2004
ACM
Organizing Web search results into clusters facilitates users' quick browsing through search results. Traditional clustering techniques are inadequate since they don't g...
WWW
2005
ACM
14 years 11 months ago
2005
ACM
This paper studies the problem of extracting data from a Web page that contains several structured data records. The objective is to segment these data records, extract data items...
CVPR
2008
IEEE
15 years 19 days ago
2008
IEEE
We present a method for learning discriminative linear feature extraction using independent tasks. More concretely, given a target classification task, we consider a complementary...
ICML
2007
IEEE
14 years 11 months ago
2007
IEEE
We introduce a robust probabilistic approach to modeling shape contours based on a lowdimensional, nonlinear latent variable model. In contrast to existing techniques that use obj...