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» Effective label acquisition for collective classification
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KDD
2008
ACM
174views Data Mining» more  KDD 2008»
14 years 5 months ago
Effective label acquisition for collective classification
Information diffusion, viral marketing, and collective classification all attempt to model and exploit the relationships in a network to make inferences about the labels of nodes....
Mustafa Bilgic, Lise Getoor
AAAI
2010
13 years 6 months ago
Active Inference for Collective Classification
Labeling nodes in a network is an important problem that has seen a growing interest. A number of methods that exploit both local and relational information have been developed fo...
Mustafa Bilgic, Lise Getoor
GFKL
2007
Springer
202views Data Mining» more  GFKL 2007»
13 years 8 months ago
Collective Classification for Labeling of Places and Objects in 2D and 3D Range Data
In this paper, we present an algorithm to identify types of places and objects from 2D and 3D laser range data obtained in indoor environments. Our approach is a combination of a c...
Rudolph Triebel, Óscar Martínez Mozo...
ICDM
2007
IEEE
162views Data Mining» more  ICDM 2007»
13 years 8 months ago
Exploiting Network Structure for Active Inference in Collective Classification
Active inference seeks to maximize classification performance while minimizing the amount of data that must be labeled ex ante. This task is particularly relevant in the context o...
Matthew J. Rattigan, Marc Maier, David Jensen, Bin...
CVPR
2010
IEEE
13 years 6 months ago
Proximate Sensing: Inferring What-Is-Where From Georeferenced Photo Collections
The primary and novel contribution of this work is the conjecture that large collections of georeferenced photo collections can be used to derive maps of what-is-where on the surf...
Daniel Leung, Shawn Newsam