239 search results - page 20 / 48 » Semi-supervised Learning from Unbalanced Labeled Data - An I... |
MCS
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. Obtaining ground truth for hyperspectral data is an expensive task. In addition, a number of factors cause the spectral signatures of the same class to vary with location...
ICPR
2008
IEEE
14 years 8 months ago
2008
IEEE
Complex simulations can generate very large amounts of data stored disjointly across many local disks. Learning from this data can be problematic due to the difficulty of obtainin...
ICIP
2008
IEEE
14 years 9 months ago
2008
IEEE
This paper proposes a data driven image segmentation algorithm, based on decomposing the target output (ground truth). Classical pixel labeling methods utilize machine learning al...
SIGIR
2008
ACM
13 years 7 months ago
2008
ACM
We study in this paper the problem of bridging the semantic gap between low-level image features and high-level semantic concepts, which is the key hindrance in content-based imag...
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
We propose a max-margin formulation for the multi-label classification problem where the goal is to tag a data point with a set of pre-specified labels. Given a set of L labels, a...