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» The Hardness of Metric Labeling
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FOIKS
2008
Springer
14 years 5 months ago
Cost-minimising strategies for data labelling : optimal stopping and active learning
Supervised learning deals with the inference of a distribution over an output or label space $\CY$ conditioned on points in an observation space $\CX$, given a training dataset $D$...
Christos Dimitrakakis, Christian Savu-Krohn
CORR
2006
Springer
74views Education» more  CORR 2006»
13 years 8 months ago
PAC Classification based on PAC Estimates of Label Class Distributions
A standard approach in pattern classification is to estimate the distributions of the label classes, and then to apply the Bayes classifier to the estimates of the distributions in...
Nick Palmer, Paul W. Goldberg
ISMAR
2003
IEEE
14 years 1 months ago
Evaluating Label Placement for Augmented Reality View Management
View management, a relatively new area of research in Augmented Reality (AR) applications, is about the spatial layout of 2D virtual annotations in the view plane. This paper repr...
Ronald Azuma, Chris Furmanski
IS
2012
12 years 3 months ago
On the refactoring of activity labels in business process models
Large corporations increasingly utilize business process models for documenting and redesigning their operations. The extent of such modeling initiatives with several hundred mode...
Henrik Leopold, Sergey Smirnov 0002, Jan Mendling
ICIP
2010
IEEE
13 years 6 months ago
Semi-supervised regression with temporal image sequences
We consider a semi-supervised regression setting where we have temporal sequences of partially labeled data, under the assumption that the labels should vary slowly along a sequen...
Ling Xie, Miguel Á. Carreira-Perpiñ&...