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105
Voted
ICTAI
2008
IEEE
15 years 8 months ago
Veritas: Combining Expert Opinions without Labeled Data
We consider a variation of the problem of combining expert opinions for the situation in which there is no ground truth to use for training. Even though we don’t have labeled da...
Sharath R. Cholleti, Sally A. Goldman, Avrim Blum,...
111
Voted
BIRTHDAY
2005
Springer
15 years 7 months ago
Compiled Labelled Deductive Systems for Access Control
This paper proposes a Compiled Labelled Deductive System, called ACCLDS, for reasoning about role-based access control in distributed systems, which builds upon Massacci’s tablea...
Krysia Broda, Alessandra Russo
119
Voted
CONEXT
2010
ACM
15 years 5 days ago
MAWILab: combining diverse anomaly detectors for automated anomaly labeling and performance benchmarking
Evaluating anomaly detectors is a crucial task in traffic monitoring made particularly difficult due to the lack of ground truth. The goal of the present article is to assist rese...
Romain Fontugne, Pierre Borgnat, Patrice Abry, Ken...
SAC
2010
ACM
14 years 9 months ago
Probabilistic relabelling strategies for the label switching problem in Bayesian mixture models
The label switching problem is caused by the likelihood of a Bayesian mixture model being invariant to permutations of the labels. The permutation can change multiple times betwee...
M. Sperrin, Thomas Jaki, E. Wit
125
Voted
CVPR
2009
IEEE
16 years 9 months ago
Efficient Scale Space Auto-Context for Image Segmentation and Labeling
The Conditional Random Fields (CRF) model, using patch-based classification bound with context information, has recently been widely adopted for image segmentation/ labeling. In...
Jiayan Jiang (UCLA), Zhuowen Tu (UCLA)