313 search results - page 7 / 63 » Estimating labels from label proportions |
ISAAC
2005
Springer
15 years 3 months ago
2005
Springer
A graph G is δ-hyperbolic if for any four vertices u, v, x, y of G the two larger of the three distance sums dG(u, v) + dG(x, y), dG(u, x) + dG(v, y), dG(u, y) + dG(v, x) differ b...
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KDD
2012
ACM
13 years 5 days ago
2012
ACM
Multi-label learning arises in many real-world tasks where an object is naturally associated with multiple concepts. It is well-accepted that, in order to achieve a good performan...
CVPR
2009
IEEE
15 years 4 months ago
2009
IEEE
Landmark labeling of training images is essential for many learning tasks in computer vision, such as object detection, tracking, and alignment. Image labeling is typically conduc...
ICPR
2006
IEEE
15 years 10 months ago
2006
IEEE
For the analysis of learning processes and the underlying changes of the shape of excitatory synapses (spines), 3-D volume samples of selected dendritic segments are scanned by a ...
DIS
2009
Springer
15 years 4 months ago
2009
Springer
Within-network regression addresses the task of regression in partially labeled networked data where labels are sparse and continuous. Data for inference consist of entities associ...