1553 search results - page 69 / 311 » Learning from Multiple Sources of Inaccurate Data |
151
click to vote
CVPR
2009
IEEE
16 years 9 months ago
2009
IEEE
In many image and video collections, we have access
only to partially labeled data. For example, personal photo
collections often contain several faces per image and a caption
t...
159
Voted
BMCBI
2010
15 years 2 months ago
2010
Background: Cluster analysis is an important technique for the exploratory analysis of biological data. Such data is often high-dimensional, inherently noisy and contains outliers...
117
Voted
ESAS
2007
Springer
15 years 8 months ago
2007
Springer
Abstract. It is now well known that data-fusion from multiple sensors can improve detection and localisation of targets. Traditional data fusion requires the sharing of detailed da...
152
Voted
BMCBI
2008
15 years 2 months ago
2008
Background: Machine-learning tools have gained considerable attention during the last few years for analyzing biological networks for protein function prediction. Kernel methods a...
111
Voted
CORR
2006
Springer
15 years 2 months ago
2006
Springer
We investigate here concept learning from incomplete examples. Our first purpose is to discuss to what extent logical learning settings have to be modified in order to cope with da...