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ICDM
2009
IEEE
207views Data Mining» more  ICDM 2009»
13 years 7 months ago
Spatially Adaptive Classification and Active Learning of Multispectral Data with Gaussian Processes
Multispectral remote sensing images are widely used for automated land use and land cover classification tasks. Remotely sensed images usually cover large geographical areas, and s...
Goo Jun, Ranga Raju Vatsavai, Joydeep Ghosh
MHCI
2005
Springer
14 years 3 months ago
Mystery in the museum: collaborative learning activities using handheld devices
In this paper, we describe the experience of designing a collaborative learning activity for a traditional historical/cultural museum. The activity, based on a “Mystery in the M...
Jorge Simarro Cabrera, Henar Muñoz Frutos, ...
DAGM
2006
Springer
14 years 1 months ago
On-Line, Incremental Learning of a Robust Active Shape Model
Abstract. Active Shape Models are commonly used to recognize and locate different aspects of known rigid objects. However, they require an off-line learning stage, such that the ex...
Michael Fussenegger, Peter M. Roth, Horst Bischof,...
AI
2002
Springer
13 years 9 months ago
Learning cost-sensitive active classifiers
Most classification algorithms are "passive", in that they assign a class label to each instance based only on the description given, even if that description is incompl...
Russell Greiner, Adam J. Grove, Dan Roth
CIKM
2010
Springer
13 years 8 months ago
Combining link and content for collective active learning
In this paper, we study a novel problem Collective Active Learning, in which we aim to select a batch set of "informative" instances from a networking data set to query ...
Lixin Shi, Yuhang Zhao, Jie Tang