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228
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ICCV
2011
IEEE
14 years 7 months ago
2011
IEEE
This paper introduces a new formulation for discrete image labeling tasks, the Decision Tree Field (DTF), that combines and generalizes random forests and conditional random fiel...
242
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CVPR
2012
IEEE
13 years 9 months ago
2012
IEEE
In this paper, we raise important issues on scalability and the required degree of supervision of existing Mahalanobis metric learning methods. Often rather tedious optimization p...
217
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AAAI
1990
15 years 8 months ago
1990
Programs such as Bacon, Abacus, Coper, Kepler and others are designed to find functional relationships of scientific significance in numerical data without relying on the deep dom...
220
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CORR
2000
Springer
15 years 7 months ago
2000
Springer
When comparing inductive logic programming (ILP) and attribute-value learning techniques, there is a trade-off between expressive power and efficiency. Inductive logic programming ...
186
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KDD
2007
ACM
16 years 7 months ago
2007
ACM
The web provides an unprecedented opportunity to evaluate ideas quickly using controlled experiments, also called randomized experiments (single-factor or factorial designs), A/B ...