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» Adaptive figure-ground classification
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PRICAI
2010
Springer
13 years 3 months ago
Sparse Representation: Extract Adaptive Neighborhood for Multilabel Classification
Unlike traditional classification tasks, multilabel classification allows a sample to associate with more than one label. This generalization naturally arises the difficulty in cla...
Shuo Xiang, Songcan Chen, Lishan Qiao
CVPR
2005
IEEE
14 years 7 months ago
Cross-Generalization: Learning Novel Classes from a Single Example by Feature Replacement
We develop an object classification method that can learn a novel class from a single training example. In this method, experience with already learned classes is used to facilita...
Evgeniy Bart, Shimon Ullman
ECSCW
2001
13 years 6 months ago
Adaptability of classification schemes in cooperation: What does it mean?
The overview of a set of field studies highlights how different are the scenarios in which classification schemes (CS) play a role in cooperation. In all cases, adaptability is cla...
Carla Simone, Marcello Sarini
ICDM
2009
IEEE
207views Data Mining» more  ICDM 2009»
13 years 3 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
ICIP
2010
IEEE
13 years 3 months ago
Rotation invariant texture classification using adaptive LBP with directional statistical features
Local Binary Pattern (LBP) has been widely used in texture classification because of its simplicity and computational efficiency. Traditional LBP codes the sign of the local diffe...
Zhenhua Guo, Lei Zhang, David Zhang, Su Zhang