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IGARSS
2009
13 years 5 months ago
Active Learning of Hyperspectral Data with Spatially Dependent Label Acquisition Costs
Supervised learners can be used to automatically classify many types of spatially distributed data. For example, land cover classification by hyperspectral image data analysis is ...
Alexander Liu, Goo Jun, Joydeep Ghosh
ICML
2009
IEEE
14 years 8 months ago
Partially supervised feature selection with regularized linear models
This paper addresses feature selection techniques for classification of high dimensional data, such as those produced by microarray experiments. Some prior knowledge may be availa...
Thibault Helleputte, Pierre Dupont
IJISMD
2010
135views more  IJISMD 2010»
13 years 5 months ago
On the Usage of Labels and Icons in Business Process Modeling
The value of business process models is dependent not only on the choice of graphical elements in the model, but also on their annotation with additional textual and graphical inf...
Jan Mendling, Jan Recker, Hajo A. Reijers
MICCAI
2002
Springer
14 years 8 months ago
Labeling the Brain Surface Using a Deformable Multiresolution Mesh
We propose to match a labeled mesh onto the patient brain surface in a multiresolution way for labeling the patient brain. Labeling the patient brain surface provides a map of the ...
Sylvain Jaume, Benoit M. Macq, Simon K. Warfield
SDM
2008
SIAM
121views Data Mining» more  SDM 2008»
13 years 9 months ago
Integration of Multiple Networks for Robust Label Propagation
Transductive inference on graphs such as label propagation algorithms is receiving a lot of attention. In this paper, we address a label propagation problem on multiple networks a...
Tsuyoshi Kato, Hisashi Kashima, Masashi Sugiyama