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CVPR
2010
IEEE
1135views Computer Vision» more  CVPR 2010»
14 years 6 months ago
Towards Weakly Supervised Semantic Segmentation by Means of Multiple Instance and Multitask Learning.
We address the task of learning a semantic segmentation from weakly supervised data. Our aim is to devise a system that predicts an object label for each pixel by making use of on...
Alexander Vezhnevets, Joachim Buhmann
CHI
2010
ACM
14 years 5 months ago
ManyNets: an interface for multiple network analysis and visualization
Traditional network analysis tools support analysts in studying a single network. ManyNets offers these analysts a powerful new approach that enables them to work on multiple netw...
Manuel Freire, Catherine Plaisant, Ben Shneiderman...
BIOTECHNO
2008
IEEE
14 years 5 months ago
Combining Boundaries and Ratings from Multiple Observers for Predicting Lung Nodule Characteristics
We use the data collected by the Lung Image Database Consortium (LIDC) for modeling the radiologists’ nodule interpretations based on image content of the nodule by using decisi...
Ekarin Varutbangkul, Vesna Mitrovic, Daniela Stan ...
BIOSURVEILLANCE
2007
Springer
14 years 5 months ago
A Study into Detection of Bio-Events in Multiple Streams of Surveillance Data
Abstract. This paper reviews the results of a study into combining evidence from multiple streams of surveillance data in order to improve timeliness and specificity of detection ...
Josep Roure, Artur Dubrawski, Jeff Schneider
TARK
2007
Springer
14 years 4 months ago
Vote manipulation in the presence of multiple sincere ballots
A classical result in voting theory, the Gibbard-Satterthwaite Theorem, states that for any non-dictatorial voting rule for choosing between three or more candidates, there will b...
Ulle Endriss