750 search results - page 67 / 150 » Learning SVMs from Sloppily Labeled Data |
AIRS
2010
Springer
13 years 7 months ago
2010
Springer
Many tasks of information extraction or natural language processing have a property that the data naturally consist of several views--disjoint subsets of features. Specifically, a ...
CVPR
2008
IEEE
14 years 11 months ago
2008
IEEE
Systematic content screening of cell phenotypes in microscopic images has been shown promising in gene function understanding and drug design. However, manual annotation of cells ...
CVPR
2007
IEEE
14 years 11 months ago
2007
IEEE
We build word models for American Sign Language (ASL) that transfer between different signers and different aspects. This is advantageous because one could use large amounts of la...
ICML
2010
IEEE
2010
IEEE
Unsupervised Risk Stratification in Clinical Datasets: Identifying Patients at Risk of Rare Outcomes
13 years 10 months ago
Most existing algorithms for clinical risk stratification rely on labeled training data. Collecting this data is challenging for clinical conditions where only a small percentage ...
CVPR
2010
IEEE
14 years 5 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...