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» Estimating labels from label proportions
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ICANN
2009
Springer
13 years 10 months ago
Learning SVMs from Sloppily Labeled Data
This paper proposes a modelling of Support Vector Machine (SVM) learning to address the problem of learning with sloppy labels. In binary classification, learning with sloppy labe...
Guillaume Stempfel, Liva Ralaivola
AAAI
2010
13 years 6 months ago
Facial Age Estimation by Learning from Label Distributions
One of the main difficulties in facial age estimation is the lack of sufficient training data for many ages. Fortunately, the faces at close ages look similar since aging is a slo...
Xin Geng, Kate Smith-Miles, Zhi-Hua Zhou
CVPR
2010
IEEE
14 years 1 months ago
Single Image Depth Estimation From Predicted Semantic Labels
We consider the problem of estimating the depth of each pixel in a scene from a single monocular image. Unlike traditional approaches [18, 19], which attempt to map from appearanc...
Beyang Liu, Stephen Gould, Daphne Koller
ISBI
2004
IEEE
14 years 6 months ago
A Method for Reconstructing Label Images From a Few Projections, as Motivated by Electron Microscopy
Our aim is to produce a tessellation of space into small voxels and, based on only a few tomographic projections of an object, assign to each voxel a label that indicates one of t...
Hstau Y. Liao, Gabor T. Herman
JMLR
2010
140views more  JMLR 2010»
13 years 2 days ago
Learning From Crowds
For many supervised learning tasks it may be infeasible (or very expensive) to obtain objective and reliable labels. Instead, we can collect subjective (possibly noisy) labels fro...
Vikas C. Raykar, Shipeng Yu, Linda H. Zhao, Gerard...