239 search results - page 28 / 48 » Semi-supervised Learning from Unbalanced Labeled Data - An I... |
CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
A good distance metric is crucial for unsupervised learning from high-dimensional data. To learn a metric without any constraint or class label information, most unsupervised metr...
CVPR
2011
IEEE
13 years 3 months ago
2011
IEEE
Active learning and crowdsourcing are promising ways to efficiently build up training sets for object recognition, but thus far techniques are tested in artificially controlled ...
CVPR
2005
IEEE
14 years 9 months ago
2005
IEEE
Training datasets for learning of object categories are often contaminated or imperfect. We explore an approach to automatically identify examples that are noisy or troublesome fo...
AAAI
2008
13 years 10 months ago
2008
Research has shown promise in the design of large scale common sense probabilistic models to infer human state from environmental sensor data. These models have made use of mined ...
CVPR
2010
IEEE
14 years 4 months ago
2010
IEEE
In this paper, we deal with a generative model for multi-label, interactive segmentation. To estimate the pixel likelihoods for each label, we propose a new higher-order formulatio...