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NETWORKS
2008
15 years 6 months ago
Reformulation and sampling to solve a stochastic network interdiction problem
The Network Interdiction Problem involves interrupting an adversary's ability to maximize flow through a capacitated network by destroying portions of the network. A budget c...
Udom Janjarassuk, Jeff Linderoth
IJCV
2008
172views more  IJCV 2008»
15 years 6 months ago
Nonparametric Bayesian Image Segmentation
Image segmentation algorithms partition the set of pixels of an image into a specific number of different, spatially homogeneous groups. We propose a nonparametric Bayesian model f...
Peter Orbanz, Joachim M. Buhmann
EMMCVPR
2011
Springer
14 years 6 months ago
Multiple-Instance Learning with Structured Bag Models
Traditional approaches to Multiple-Instance Learning (MIL) operate under the assumption that the instances of a bag are generated independently, and therefore typically learn an in...
Jonathan Warrell, Philip H. S. Torr
TCS
2012
14 years 2 months ago
Deterministic recurrent communication in restricted Sensor Networks
In Sensor Networks, the lack of topology information and the availability of only one communication channel has led research work to the use of randomization to deal with collisio...
Antonio Fernández Anta, Miguel A. Mosteiro,...
JAR
2006
95views more  JAR 2006»
15 years 6 months ago
Mechanizing and Improving Dependency Pairs
The dependency pair technique [1, 11, 12] is a powerful method for automated termination and innermost termination proofs of term rewrite systems (TRSs). For any TRS, it generates ...
Jürgen Giesl, René Thiemann, Peter Sch...