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ICPR
2004
IEEE
14 years 10 months ago
Selective Sampling Based on the Variation in Label Assignments
In this paper, a new selective sampling method for the active learning framework is presented. Initially, a small training set ? and a large unlabeled set ? are given. The goal is...
Piotr Juszczak, Robert P. W. Duin
ECCV
2010
Springer
14 years 2 months ago
Enhancing Interactive Image Segmentation with Automatic Label Set Augmentation
Abstract. We address the problem of having insufficient labels in an interactive image segmentation framework, for which most current methods would fail without further user inter...
MVA
2007
158views Computer Vision» more  MVA 2007»
13 years 8 months ago
Hybrid object labelling in digital images
The application of a technique for labelling connected components based on the classical recursive technique is studied. The recursive approach permits labelling, counting, and cha...
Julio Martín-Herrero
ACL
2010
13 years 7 months ago
Starting from Scratch in Semantic Role Labeling
A fundamental step in sentence comprehension involves assigning semantic roles to sentence constituents. To accomplish this, the listener must parse the sentence, find constituent...
Michael Connor, Yael Gertner, Cynthia Fisher, Dan ...
CVPR
2011
IEEE
13 years 18 days ago
Supervised Hypergraph Labeling
We address the problem of labeling individual datapoints given some knowledge about (small) subsets or groups of them. The knowledge we have for a group is the likelihood value fo...
Toufiq Parag, Ahmed Elgammal