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83
Voted
CVPR
2010
IEEE
1135views Computer Vision» more  CVPR 2010»
15 years 5 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
73
Voted
ICALP
2005
Springer
15 years 3 months ago
Up-to Techniques for Weak Bisimulation
Abstract. We study the use of the elaboration preorder (due to ArunKumar and Natarajan) in the framework of up-to techniques for weak bisimulation. We show that elaboration yields ...
Damien Pous
66
Voted
CONCUR
2006
Springer
15 years 1 months ago
Weak Bisimulation Up to Elaboration
Abstract We study the use of the elaboration preorder (due to ArunKumar and Natarajan) in the framework of up-to techniques for weak bisimulation. We show that elaboration yields a...
Damien Pous
MOBIHOC
2002
ACM
15 years 9 months ago
Weak duplicate address detection in mobile ad hoc networks
Auto-configuration is a desirable goal in implementing mobile ad hoc networks. Specifically, automated dynamic assignment (without manual intervention) of IP addresses is desirabl...
Nitin H. Vaidya
76
Voted
IWMM
2000
Springer
108views Hardware» more  IWMM 2000»
15 years 1 months ago
Efficient Object Sampling via Weak References
The performance of automatic memory management may be improved if the policies used in allocating and collecting objects had knowledge of the lifetimes of objects. To date, approa...
Ole Agesen, Alex Garthwaite