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AAAI
1998
15 years 8 months ago
Bayesian Network Models for Generation of Crisis Management Training Scenarios
We present a noisy-OR Bayesian network model for simulation-based training, and an efficient search-based algorithm for automatic synthesis of plausible training scenarios from co...
Eugene Grois, William H. Hsu, Mikhail Voloshin, Da...
GLOBECOM
2007
IEEE
16 years 1 months ago
Loss Tomography in General Topologies with Network Coding
Abstract— Network tomography infers internal network characteristics by sending and collecting probe packets from the network edge. Traditional tomographic techniques for general...
Minas Gjoka, Christina Fragouli, Pegah Sattari, At...
JFP
2008
125views more  JFP 2008»
15 years 6 months ago
Types and trace effects of higher order programs
This paper shows how type effect systems can be combined with model-checking techniques to produce powerful, automatically verifiable program logics for higher order programs. The...
Christian Skalka, Scott F. Smith, David Van Horn
196
Voted
PAMI
2010
238views more  PAMI 2010»
15 years 5 months ago
Tracking Motion, Deformation, and Texture Using Conditionally Gaussian Processes
—We present a generative model and inference algorithm for 3D nonrigid object tracking. The model, which we call G-flow, enables the joint inference of 3D position, orientation, ...
Tim K. Marks, John R. Hershey, Javier R. Movellan
DLS
2009
150views Languages» more  DLS 2009»
15 years 4 months ago
Fast type reconstruction for dynamically typed programming languages
Type inference and type reconstruction derive static types for program elements that have no static type associated with them. They have a wide range of usage, such as helping to ...
Frédéric Pluquet, Antoine Marot, Roe...